50+ SQL Jobs in India

Great engineers aren’t built by watching.

They’re built by solving real problems.

At AbleCredit, interns don’t work on toy projects or isolated assignments. From your first few weeks, you’ll contribute to production systems used by enterprise customers, collaborate with experienced engineers, and learn what it takes to build reliable software at scale.

If you’re curious, enjoy building things, and want to accelerate your engineering career, we’d love to work with you.

What You’ll Build?

As an Engineering Intern, you’ll work alongside our engineering team to build and improve products used by real customers.

Depending on your interests and the team’s priorities, you’ll:

● Build backend services, APIs, and platform features.

● Develop user-facing features across our web applications.

● Work with databases, cloud services, and third-party integrations.

● Debug production issues and improve system reliability.

● Participate in code reviews and technical design discussions.

● Write clean, maintainable, and well-tested code.

● Learn how modern software is designed, built, deployed, and monitored.

Your work won’t be a demo project—it will ship to production.

What We’re Looking For?

We’re looking for people who enjoy solving problems more than collecting technologies on their résumé.

You’ll likely succeed if you:

● Are pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science or a related field.

● Have strong programming fundamentals and problem-solving skills.

● Understand data structures, algorithms, and object-oriented programming.

● Are comfortable with at least one programming language such as JavaScript, TypeScript, Python, Java, or Go.

● Understand the basics of databases, REST APIs, and Git.

● Learn quickly and enjoy exploring unfamiliar technologies.

● Communicate clearly and work well in a collaborative environment.

Bonus Points:

Experience with any of these is helpful but not required:

● Node.js, FastAPI, Spring Boot, or Django

● React and modern frontend development

● SQL and NoSQL databases

● AWS, GCP, or Azure

● Docker, Kubernetes, or CI/CD

● AI, LLMs, or workflow automation

Don’t worry if you haven’t worked with everything on this list. We care more about your ability to learn than your current toolkit.

What You’ll Learn?

During your internship, you’ll gain practical experience with:

● Building production software

● Backend engineering and API design

● Modern web application development

● Cloud infrastructure

● Distributed systems and asynchronous workflows

● Software testing and debugging

● Git-based development workflows

● Code reviews and engineering collaboration

You’ll also learn how engineering teams operate inside a fast-moving startup—from

turning ideas into products to shipping features used by customers.

Why Join AbleCredit?

You’ll join a small, high-ownership engineering team where your contributions matter from day one.

You’ll have the opportunity to:

● Build software used by real enterprise customers.

● Receive mentorship from experienced engineers.

● Learn modern engineering practices and tools.

● Work across the backend, frontend, and cloud stack.

● Take ownership of meaningful features instead of isolated tasks.

● Convert your internship into a full-time engineering role based on your

performance and available opportunities.

We Think You’ll Enjoy This Role If...

● You build side projects because you enjoy learning.

● You like understanding how systems work—not just using them.

● You’re excited to write code that reaches production.

● You ask questions, experiment, and learn quickly.

● You want an internship where you’ll build, not just observe.

Required Qualifications

• 10+ years of experience in data science, marketing analytics, or applied measurement, with 4+ years directly managing and developing data scientists.
• Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong working knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Demonstrated ability to lead a team of data scientists—setting direction, developing careers, and maintaining a high bar for quality and impact.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Experience at a high-growth Indian consumer tech company
• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You develop high-performing teams, not just high-performing models
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships and make distributed teams work effectively
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back
• 
  

About the role

You bring experience from organizations where marketing analytics is taken seriously—whether that’s a global technology company, an Indian consumer tech company, a data-driven marketing organization, or a specialist analytics firm. You understand the discipline of marketing science and the craft of building teams that do it well.

Required Qualifications

• 8+ years of hands-on experience in data science, marketing analytics, or applied measurement, Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.
•  

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships 
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

Position Title : Software Engineer

Position Type: Full-Time

Department: Research & Development

Reports To: First Level Manager,

Company Background:

Affiliated with US Group companies, CGLIA Solutions LLP is an innovative Software Product Development organization developing highly available, highly secure, cloud-based enterprise software products catering to the needs of leading Research Facilities, University Medical Centers, Hospitals, and Pharmaceutical companies across the globe, ultimately contributing to the development of life-saving medications.

CGLIA is committed to helping software professionals unleash their creativity, build world-class enterprise applications, and accelerate their careers in a collaborative and innovation-driven environment.

Job Summary :

As a Software Engineer (Java), you will be responsible for designing, developing, and maintaining scalable, secure, and high-performance cloud-based enterprise applications. You will work closely with Product Management, Business Analysts, QA, DevOps, and cross-functional engineering teams to deliver innovative software solutions that exceed customer expectations.

The ideal candidate should be a self-starter with excellent analytical and problem-solving skills, strong expertise in Java backend technologies, and a passion for developing high-quality software. This role also provides an opportunity to mentor junior engineers, participate in technical discussions, and contribute to architectural decisions.

Key Responsibilities

• Participate in requirement analysis and collaborate with Product Management to understand functional and non-functional requirements.
• Contribute to technical design discussions and prepare technical design documentation.
• Design, develop, test, and maintain scalable backend applications using Java and Spring Boot.
• Develop and maintain RESTful APIs and Microservices.
• Write clean, reusable, maintainable, and well-documented code following industry best practices.
• Optimize application performance, scalability, reliability, and security.
• Perform unit testing, code reviews, debugging, and production issue resolution.
• Collaborate with QA, DevOps, UI, and Product teams throughout the software development lifecycle.
• Mentor junior engineers and actively contribute to knowledge sharing within the team.
• Stay updated with emerging technologies, frameworks, and software development best practices.
• Participate in technical interviews and hiring activities to support organizational growth.
• Undertake additional responsibilities as required to achieve project and organizational objectives.
• 
  

Qualifications (Education, Experience, Skills & Knowledge)

• Bachelor's degree in Computer Science, Information Technology, or an equivalent discipline.
• 5+ years of hands-on experience in Java application development.
• Strong expertise in Core Java (Java 8/11/17) and Object-Oriented Programming concepts.
• Extensive experience with Spring Boot, Spring MVC, Spring Data JPA, Spring Security, and Hibernate.
• Strong experience designing and developing RESTful APIs and Microservices.
• Experience working with relational databases such as MySQL, PostgreSQL, Oracle, or MS SQL Server.
• Good understanding of Data Structures, Algorithms, Design Patterns, and Multithreading.
• Angular, Bootstrap, Material Design, HTML5, CSS, JavaScript
• Hands-on experience with Git, Maven/Gradle, and Agile/Scrum development methodologies.
• Experience with code quality tools such as SonarQube and static code analysis.
• Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP) is preferred.
• Knowledge of messaging systems such as Kafka or RabbitMQ is an added advantage.
• Strong analytical, troubleshooting, and debugging skills.
• Excellent written, verbal, and interpersonal communication skills.
• Ability to work independently and collaboratively in a fast-paced product development environment.
• Eagerness to learn and adopt new technologies.

About the Role

We are looking for a passionate and detail-oriented QA Engineer with strong expertise in Manual Testing and a solid understanding of Automation Testing. This role is primarily focused on Manual Testing with Automation Testing. We are looking for someone who enjoys breaking applications, thinks beyond happy path scenarios, and has excellent analytical and debugging skills.

The ideal candidate should be comfortable testing complex Web and Mobile applications, validating APIs and databases, and working closely with developers to identify the root cause of issues. We also encourage engineers who actively leverage AI tools to improve productivity, accelerate testing activities, and enhance software quality.

Key Responsibilities

Perform end-to-end Manual Testing of Web and Mobile applications.

Design, write, review, and maintain comprehensive test cases and test scenarios.

Execute Functional, Regression, Integration, Smoke, Sanity, and Exploratory testing.

Validate application functionality across UI, API, and Database layers.

Write and execute SQL queries for data validation and troubleshooting as part of day-to-day testing activities.

Perform API testing using tools like Postman or similar.

Debug issues by analyzing logs, API requests/responses, database records, and application behavior.

Work closely with developers and product teams to identify root causes and ensure high-quality releases.

Participate in requirement analysis and identify test scenarios early in the development lifecycle.

Think beyond the documented requirements and identify edge cases, negative scenarios, and usability issues.

Contribute to automation efforts wherever applicable.

Leverage AI tools to improve testing efficiency, generate test ideas, analyze production issues, accelerate root cause analysis, and enhance overall QA productivity.

Required Skills

Manual Testing (Primary Requirement)

Strong experience in Manual Testing with excellent knowledge of Software Testing Life Cycle (STLC) and Defect Life Cycle.

Hands-on experience testing both Web and Mobile applications.

Strong experience in:

UI Testing

API Testing

Database Testing

Excellent test case design skills with the ability to create effective positive, negative, boundary, and edge-case scenarios.

Strong exploratory testing skills with a mindset to challenge and break the application.

Good understanding of different testing methodologies and quality assurance best practices.

Database Skills

Strong SQL knowledge.

Ability to write complex SQL queries involving joins, aggregations, subqueries, and data validation.

Comfortable validating backend data independently during regular testing activities.

Debugging & Analytical Skills

Strong debugging and problem-solving skills.

Ability to analyze application logs, API traffic, database records, and application behavior to identify the root cause of issues.

Good understanding of client-server architecture and application workflows.

Basic understanding of system architecture and High-Level Design (HLD). Deep architectural expertise is not required, but the candidate should understand how different components interact within the system.

Automation

Hands on in UI automation.

Experience with Playwright using TypeScript is a strong advantage.

Understanding of automation frameworks and scripting concepts is desirable.

Willingness to contribute to automation initiatives over time.

AI Adoption (Preferred)

Experience using AI tools such as ChatGPT, Claude, Gemini, or similar to improve testing productivity.

Ability to use AI for:

Test case and test data generation.

Exploratory testing ideas and edge-case identification.

SQL query generation and optimization.

API request creation and validation.

Debugging production issues and performing root cause analysis.

Writing automation scripts and improving existing test automation.

Strong understanding of when to rely on AI-generated output and when to validate it through engineering judgment.

Preferred Candidate Profile

We are looking for someone who:

Has an investigative mindset and enjoys debugging complex issues.

Has a strong "break-the-system" mindset and continuously looks for edge cases.

Thinks outside the box and identifies scenarios beyond documented requirements.

Actively adopts AI tools to improve productivity without compromising quality.

Has excellent analytical and logical reasoning skills.

Pays close attention to detail.

Takes ownership of product quality.

Can communicate effectively with developers, product managers, and stakeholders.

Is proactive, self-driven, and eager to learn new technologies, AI capabilities, and testing practices.

Nice to Have

Hands on with Playwright and TypeScript.

Knowledge of CI/CD pipelines.

Experience working in Agile/Scrum environments.

Experience

2.5+ years of hands-on experience in Software Testing, with a strong focus on Manual Testing.

We are hiring for a Senior Data Scientist II

Location: Bengaluru, India | Work Style: Hybrid (2 days/week in office) | Experience: 8+ years

About the Role:

We're on a journey to put AI at the center of how strategic decisions are made, and we're looking for a Senior Data Scientist to help lead the way.

You'll work on real, in-production AI experiences like Planview Anvi, used by enterprises to turn complex portfolios of work into clear, confident action. You'll join a team thinking years ahead about where AI and enterprise work are going, with the ownership to turn that vision into products customers rely on every day.

What You'll Work On:

• Natural language interaction — building systems that let users simply ask, and get instant, trustworthy insights
• Proactive intelligence — developing models that surface risks and opportunities before they surface themselves
• Adaptive decisioning — helping teams adjust course in real time as conditions change

Why This Role:

Most data science roles are about building models. This one is about building the intelligence layer that an entire category of enterprise software is being rebuilt around.

At Planview, we help the world's largest organizations plan and deliver their most important work, and we're in the middle of a multi-year push to put AI at the core of how those decisions get made.

As a Senior Data Scientist based in Bengaluru, you'll be hands-on shaping AI experiences already in production and used by real enterprises — like Planview Anvi — while helping define what comes next.

• Real users, real scale: your work ships to enterprise customers managing billions of dollars of work — not a demo, not a backlog experiment
• Frontier problems: natural-language interfaces over messy enterprise data, models that flag risk before humans see it, and systems that adapt plans as reality shifts
• Ownership, not hand-offs: you'll influence direction, not just execute tickets — senior enough to shape the roadmap, close enough to the product to see your work land
• A team playing the long game: we're building for where enterprise AI is going over the next several years, and want someone who wants to help steer that

Responsibilities:

• Enable Data Science features within Planview applications, working in a fast-paced startup mindset
• Collaborate closely with product management to enable Data Science features that deliver significant value to customers, ensuring these features are also optimized for operational efficiency
• Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment
• Design and implement optimization models (e.g., resource-constrained scheduling, portfolio/project selection, simulation-based decision support) to solve complex planning and allocation problems at enterprise scale
• Contribute to agentic AI features — forecasting, risk-scoring, and recommendation models that power AI agents embedded in Planview products
• Provide leadership to other Data Scientists by exemplifying exceptional quality in work, nurturing a culture of continuous learning, and offering daily guidance in their research endeavors
• Effectively communicate ideas drawn from complex data with clarity and insight

Required Qualifications:

• Master’s degree in operations research, Statistics, Computer Science, Data Science, or a related field
• 8+ years of experience as a data scientist, data engineer, or ML engineer
• Demonstrable history bringing Data Science features to enterprise applications
• Exceptional Python and SQL coding skills — production-grade, not notebook-only
• Strong grounding in optimization (linear/integer programming, simulated annealing, heuristics, or similar) alongside Machine Learning, Generative AI, NLP, Statistics, and Simulation
• Experience with AWS Data and ML technologies (SageMaker, Glue, Athena, Redshift)
• Experience designing and building tool/service interfaces that other systems (including AI agents) can invoke reliably — API/service contract design, schema definition, and testing discipline
• Working understanding of agentic AI system architecture — how agents discover and call tools, how actions are scoped and tracked, and how outputs feed back into planning workflows.

Preferred Qualifications

• Experience working with datasets in the domain of project management, software development, and resource planning
• Experience with common data science libraries and frameworks (Scikit-learn, TensorFlow, PyTorch)
• Experience with ML platform tools (AWS SageMaker)
• Hands-on experience with MCP (Model Context Protocol) or similar tool-calling/agent-orchestration standards (e.g., A2A, LangChain tool interfaces)
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex) and vector database experience (Pinecone, Weaviate, OpenSearch)
• Exposure to evaluation frameworks for GenAI features
• Prior experience mentoring or leading data scientists
• Comfortable working as part of a global, diverse workforce of high-performing individuals
• AWS Certification is a plus

Team & Culture:

You'll join a global, distributed Data Science team spanning Bengaluru and Austin. We move fast, ship real AI to real enterprise users, and go all-in on agentic systems — without taking ourselves too seriously. Startup speed, prototype-to-production mindset, and a genuine focus on having fun while we build.

Growth:

This role offers a clear path to grow into a Principal Data Scientist as you take on greater scope and impact.

Interview Process:



Our process typically includes an initial conversation to assess fit, a technical assessment, one or more in-depth technical/case discussions, and final conversations with cross-functional stakeholders. 

6 days WFO.

Strong Backend Node.js Developer Profile

2

Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3

Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4

Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5

Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7

Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8

Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9

Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10

Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11

Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

12

Mandatory (Note) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

13

Mandatory (Note) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

14

Preferred (College) – Tier1 engineering college is a plus plus

15

Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

3–6 years of experience in Data Engineering or Cloud Data Development.

Key Skills • Snowflake (Data Warehouse Design, ELT, Performance Tuning) • DBT • Apache Airflow • GitHub • SQL & Python • GCP (BigQuery, Cloud Storage, Dataflow) • Data Modeling (Dimensional Modeling, Star Schema, Normalization) 

Job Title: .NET Full-Stack Developer (ASP.NET Core / React.js / Node.js)

Experience: 1 - 3 Years

Location: Borivali, Mumbai (Onsite)

Employment Type: Full-time

About Wama Technology:

Wama Technology is a fast-growing technology solutions provider delivering high-impact web and mobile applications for clients globally. We are looking for an ambitious, tech-savvy .NET Full-Stack Developer with 1 to 3 years of experience to build scalable applications, integrate cutting-edge AI features, and drive product execution from our Borivali office.

Role Overview:

As a .NET Full-Stack Developer, you will be responsible for building, optimizing, and deploying full-stack web applications using ASP.NET Core, React.js, and Node.js. You will work on API integrations, database architectures, and AI feature implementations while maintaining clean code standards and taking ownership of key modules in a fast-paced environment.

Key Responsibilities:

• Design, develop, and maintain robust full-stack web applications using ASP.NET Core, React.js, and Node.js.
• Architect, build, and consume secure, high-performance RESTful APIs and web services.
• Manage database systems including SQL Server, PostgreSQL, and MongoDB, ensuring query performance and data integrity.
• Integrate AI features, AI APIs, and smart automation directly into client applications and internal product workflows.
• Troubleshoot, debug, and resolve technical issues with strong analytical and problem-solving skills.
• Work independently to manage module deliverables on tight deadlines within a collaborative team environment.
• Effectively articulate technical ideas, system designs, and code logic to internal teams and stakeholders.

Required Qualifications & Skills:

• Experience: 1 to 3 years of commercial software development experience in full-stack web applications.
• Backend Core: Strong expertise in ASP.NET Core and Node.js backend development.
• Frontend Core: Hands-on development experience with React.js, JavaScript (ES6+), HTML5, and CSS.
• Databases: Solid command of relational and NoSQL databases (SQL Server, PostgreSQL, or MongoDB).
• API Architecture: Proven ability to design, document, and integrate RESTful APIs.
• Execution: Strong debugging skills, logical reasoning, and a habit of writing clean, maintainable code.
• Communication: Excellent spoken and written English, with superior technical explanation skills and team collaboration ability.

AI Tooling & Technology Adaptability (Critical):

• Hands-on experience working with AI-assisted IDEs and development tools (Cursor, Windsurf, GitHub Copilot, etc.).
• Proven capability to integrate AI APIs (OpenAI, Gemini, or custom LLM endpoints) into modern web solutions.
• Strong interest and active awareness of the latest software development frameworks and emerging technologies.

Location & Work Mode:

• Work Location: Onsite at Borivali, Mumbai.
• Open exclusively to candidates currently located in Mumbai or able to commute daily to Borivali (No relocation assistance provided).
• Immediate joiners or short notice periods preferred.

Job description

Position : Dot Net Developer

Technology: ASP.NET, C#, .NET, MS-SQL, MVC, .NET CORE 3.0, ANGULAR 8, ANGULAR 4 JS

Experience Required: 2- 5 years

Job Overview: The project work undertaken will be the development and unit testing of straightforward or low-complexity components. The main responsibility is to follow low-level designs, supported by colleagues and team leaders. May assist in any other aspect of the project life-cycle under supervision.

Responsibilities:-

• Design, develop, and configure software modules, interfaces and components
• Programming ASP. Net MVC using C#,Dot net Core,Web API,Entity
• Framework, HTML 5, Java Script, J Query, CSS, Bootstrap
• Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support
• Database: MS SQL Server
• Apply knowledge of technologies, applications, methodologies, processes and
• tools to support the system
• Ability to work as a team member
• Ability to work creatively and analytically in a problem-solving environment
• Good command of English communication (written and oral) and interpersonal
• skills Interact with various stakeholders to finalize the design and interfaces.

Qualifications -

• Bachelors/Masters degree in computer science or engineering with a focus on language processing.
• At least 2- 4 years of experience in coding using .NET languages (C+, VB, .NET).
• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC).
• Knowledge of at least one of the .NET languages (e.g. C#, Dot net Core) and HTML5/CSS3.
• Familiarity with architecture styles/API s (REST, RPC).
• Understanding of Agile methodologies.
• Excellent troubleshooting and communication skills.
• Proficiency in using MVC.
• A strong foundation in SSRS/SSIS.
• Producing code using .NET languages (C#).
• Upgrading, configuring and debugging existing systems.
• Providing technical support for web, desktop or mobile applications.

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Company Description

We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance.

This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence.

Job Description

• Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
• Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
• Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
• Document defects, observations, and actionable feedback for engineering and product development teams.
• Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
• Re-test resolved issues and verify fixes as new builds become available.
• Maintain detailed testing documentation and ensure traceability of validation results.
• Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
• Strong attention to detail with excellent analytical and problem-solving skills.
• Ability to interpret test results and identify discrepancies.
• Experience documenting defects and working with engineering teams to resolve issues.
• Good written and verbal communication skills.
• Familiarity with software testing methodologies and defect lifecycle management.
• Exposure to Agile development environments is preferred.
• Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.

Roles and Responsibilities: 

You’ll work closely with Goalkeep’s internal team and support client projects as needed. Your responsibilities will include: 

A. Infrastructure Maintenance & Optimization 

● Design and review data pipeline diagrams for both client and internal projects

● Build data pipelines by writing clean, efficient SQL queries for data analysis and quality checks 

● Monitor data pipeline performance and infrastructure costs, proactively resolving issues and identifying opportunities to improve reliability, efficiency, and cost-effectiveness.

● Maintain and upgrade Goalkeep’s internal tech infrastructure 

B. Tech Leadership & Team Enablement 

● Provide technical guidance, troubleshooting support, and coaching to strengthen data analysts’ skills so that they can successfully deliver on client projects 

● Create technical documentation, troubleshooting guides and reusable resources that improve team efficiency. 

● Foster a culture of curiosity, continuous learning and knowledge sharing across the team. 

C. AI-Enabled Data Engineering & Innovation 

● Explore and leverage AI tools to improve the efficiency, reliability and scalability of Goalkeep's data engineering workflows. 

● Identify opportunities to automate repetitive engineering and data quality tasks using AI-assisted approaches. 

● Work with internal teams to embed AI into engineering workflows while ensuring reliability, transparency and maintainability.

What we’re looking for:

Hard Skills 

● Data modeling and database management (PostgreSQL, MySQL, or SQL Server)

● Data engineering: writing efficient SQL, designing pipelines 

● Installing and maintaining software on Linux systems 

● Familiarity with cloud-based platforms (AWS / GCP / Azure) is a must

Soft Skills & Mindsets 

● Ability to coach others through patient communication & technical guidance.

● Curiosity and accountability when investigating system issues 

● Strong problem-solving ability with a structured and analytical approach. Preferred Qualifications: 

● Engineering degree with a minimum 4 years of experience working as a data scientist / data analyst/ data engineer 

● Bachelor's degree in any STEM field 

● Past experience in SQL (any dialect) 

● Knowledge of software engineering best practices and version control (Git)

What’s in it for you? 

1. The chance to work at the intersection of social impact and technology.

2. Shape how AI is responsibly applied to solve real-world data challenges for nonprofits.

3. Mentor and grow a technically strong team while influencing Goalkeep's engineering practices. 

4. Be part of a close-knit team passionate about using data for good.

Compensation Range: 

INR 9.0 lac – Rs. 12.0 lac per annum 

Apply here: 

https://forms.gle/eh2RDgtpWHv4f8mE6

Roles & Responsibilities

• Design and conduct quantitative UX research studies to evaluate user behavior and product usability.
• Plan, execute, and analyze A/B tests and controlled experiments.
• Define research objectives, hypotheses, success metrics, and measurement frameworks.
• Analyze product metrics, user engagement, conversion funnels, retention, and feature adoption.
• Extract and analyze data using SQL and product analytics tools.
• Use statistical methods to validate research findings, including sample size calculations, confidence intervals, and statistical significance testing.
• Collaborate with Product Managers, UX Designers, Data Analysts, and Engineering teams to support product strategy.
• Create dashboards, reports, and presentations to communicate research findings and recommendations.
• Identify user behavior patterns and opportunities for product optimization.
• Translate complex quantitative insights into clear, business-focused recommendations.
• Support product development by measuring the impact of new features and product improvements.
• Stay updated with industry trends, research methodologies, and analytics best practices.

Ideal Candidate

• Strong understanding of experimental design and statistical methodologies.
• Hands-on experience with SQL and product analytics platforms such as Amplitude, Mixpanel, or GA4.
• Ability to interpret large datasets and generate actionable business insights.
• Excellent problem-solving, analytical thinking, and stakeholder communication skills.
• Passion for improving user experience through data-driven decision-making

Must-Have Skills

• Minimum 3 years of experience in Data Engineering / Analytics Engineering / Fintech Data roles
• Must have worked on SMS Parsing, intelligent platform, converting RAW customer SMS data into structured actionable financial signals and enabling downstream usage of SMS derived variables
• Must have established a continuous learning cycle to expand parser coverage
• Experience in Lending / NBFC / Fintech domain
• Experience working with Bureau, SMS, Device, or Banking data
• Strong Python and SQL (production level)
• Experience handling unstructured data (SMS, logs, JSON, APIs)
• Experience building data pipelines, schedulers, and cron jobs
• Strong database design and data modelling skills
• Ability to work in a startup environment with high ownership
• Familiarity with modern platforms like AWS, Snowflake, Google BigQuery, Redshift

Good to Have

• Experience in STPL, especially less than 25K ticket size
• Experience with streaming (Kafka/Kinesis) and orchestration (Airflow or Step Functions)
• Experience with feature stores and risk analytics datasets
• Knowledge of regex, NLP basics for SMS parsing
• Experience supporting real-time decision engines/underwriting systems

Role Summary

This role will be responsible for owning the end-to-end data-structuring layer across the organisation. The individual will transform large volumes of raw, unstructured, and semi-structured data (such as SMS, device, bureau, and app data) into clean, standardised, and analysis-ready datasets. These structured datasets will directly power risk analytics, fraud detection, marketing insights, collections strategy, and policy decisioning.

Key Objective of the Role

Ensure all raw lending data (SMS, Bureau, Device, AA, App logs) is captured, parsed, structured, and stored in a clean analytics-ready format inside databases (PostgreSQL, DynamoDB, AWS stack) so that the Risk and Data Science team can directly use it for feature creation, policy building, and portfolio monitoring.

Core Responsibilities

1. End-to-End Data Ownership

• Design, build, and maintain end-to-end data pipelines (batch + streaming) using AWS native services (Glue, Lambda, Step Functions, Kinesis, S3, Athena, Redshift, EMR/Spark, etc.): ingestion

→ parsing → structuring → storage

• Work closely with Tech, Product, and Data Science to define what data should be captured
• Maintain data documentation, data dictionaries, and schema governance
• Ensure data quality, consistency, and version control

1. Unstructured Data Processing (Highest Priority)

• Parse raw SMS dumps and categorise into salary, EMI, loan apps, collections, credits, debits, OTP, etc.
• Process device fingerprint, behavioural logs, and vendor data (FinBox, AA, Bureau APIs)
• 
  
• 
  
• Convert JSON, logs, and raw API responses into structured feature tables
• Build regex/keyword-based parsers for financial SMS classification

1. Feature Implementation (From Risk & Data Science Team)

• Implement feature creation logic provided by Risk/Data Science team
• Translate business and policy logic into SQL/Python pipelines
• Create reusable feature layers for underwriting, fraud, collections, and monitoring
• Maintain a feature store for consistent model and policy usage

1. Lending Data Understanding (Domain-Specific Requirement)

• Work with Bureau data
• Structure SMS-derived financial variables (income, stress, EMI signals)
• Work with Account Aggregator and bank transaction datasets
• Understand fintech alternate data used in underwriting and fraud detection

1. Data Pipelines & Automation

• Build and maintain ETL/ELT pipelines using Python & SQL
• Create cron jobs for automated data ingestion and feature refresh
• Automate vendor data pulls (Bureau, SMS SDK, AA, device data)
• Ensure low-latency pipelines for real-time underwriting use cases

1. Database Structuring & Storage Architecture

• Structure clean datasets in PostgreSQL (analytics layer)
• Manage raw data storage in DynamoDB / S3 data lake
• Design normalized and denormalised tables for risk analytics
• Optimise database performance for large-scale query workloads

1. Dashboards & Readable Data Layer

• Create analytics-ready datasets, implement & write Metabase queries and convert into dashboards (Metabase / Power BI)
• Enable self-serve data access for Risk, Business, and Founders
• Support ad-hoc analysis requirements from leadership

1. Cross-Functional Collaboration (Very Important)

• The role requires close collaboration with data science, tech, product, and business teams to ensure reliable data pipelines, well-defined schemas, API integrations, logging architecture and high data quality, enabling faster and more accurate decision-making across lending workflows.

Tech Stack (Current Environment)

• AWS Services
• PostgreSQL (Primary analytics DB)
• DynamoDB (Raw/NoSQL storage)
• Python (Pandas, NumPy, ETL frameworks)
• Advanced SQL
• APIs, JSON, and Log Data Handling

Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

What You'll Bring

•     Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

•     System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

•     Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

•     Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

•     AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

•     Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

Job Title: Power BI Developer

Experience: 4+ Years

Location: Pune, Thane (Maharashtra), Indore (Madhya Pradesh)

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Description:

• Develop and maintain database and ETL solutions using Microsoft Fabric.
• Create interactive dashboards and reports using Power BI (preferred).
• Work with Qlik Sense or other data visualization tools.
• Write and optimize SQL queries for data analysis and reporting.
• Collaborate with business teams to understand reporting requirements and deliver data solutions.

Required Skills:

• Microsoft Fabric
• Power BI
• Qlik Sense or any Data Visualization Tool
• SQL
• MySQL

• Bachelor’s degree in Computer Science, Engineering, or related field 
• 3–5 years of relevant experience in MDM and enterprise data platforms 
• Hands-on experience with Reltio MDM and Reltio Integration Hub 
• Strong communication skills 
• Strong SQL and data analysis skills 

🚀 Job Title : Senior Full Stack Developer (Backend Heavy)

Experience : 8 to 15 Years

Location : Kasturi Nagar, Bengaluru (On-site)

Work Mode : 5 Days Work From Office

Employment Type : Full-Time

Notice Period : Immediate Joiners or Candidates serving notice (LWD within 15–20 days)

About the Role :

PluginHive is looking for a Senior Full Stack Developer with strong backend expertise to build and scale high-volume SaaS applications. The ideal candidate should have hands-on experience in Node.js, React.js, and AWS, with a backend-heavy profile and the ability to independently own applications from development to production.

Mandatory Skills :

Node.js, React.js, AWS, JavaScript/TypeScript, REST APIs, Microservices, SQL/NoSQL, Docker, CI/CD, System Design

Key Responsibilities :

• Develop scalable applications using Node.js and React.js.
• Design and manage cloud infrastructure on AWS.
• Own application development, deployment, production support, and scalability.
• Build REST APIs and microservices.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot production issues and drive performance improvements.

Requirements :

• 8 to 15 years of software development experience.
• Strong hands-on experience in Node.js, React.js, and AWS.
• Experience managing high-volume production applications.
• Strong AWS architecture and cloud ownership experience.
• Good understanding of Docker, CI/CD, databases, and system design.
• Ability to work independently and lead technical decisions.

Hiring Process :

• Round 1 : Screening Call
• Round 2 : Online Technical Interview (Coding, DSA, Project Discussion)
• Round 3 : In-Person Technical Architect Round (System Design & Problem Solving)

What We're Looking For :

We are specifically looking for engineers who :

• Have a backend-heavy Full Stack profile (not frontend-heavy).
• Have independently owned production applications.
• Have hands-on AWS architecture and infrastructure experience.
• Can manage deployments, production issues, database changes, and application scaling.
• Are capable of leading technical decisions and solving complex engineering problems.
• Have worked without relying entirely on a separate DevOps or Cloud team.

Note : Candidates who have only basic AWS knowledge or rely on a separate DevOps team for deployments and infrastructure management will not be considered.

Dear Candidates,

We are hiring for Java Developer/Java Fullstack Developer role for Mumbai location .

Java Fullstack Lead/Engineer.

Job Description

Job Description java full stack 

• Lead a team of Java developers in the design and development of software applications;

• Provide technical guidance and expertise in Java development best practices;

• Collaborate with stakeholders to understand business requirements and translate them into technical solutions;

• Conduct code reviews, mentor team members, and ensure adherence to coding standards;

• Troubleshoot technical issues and provide timely resolutions;

• Analyze and optimize application performance and scalability;

• Stay up-to-date with the latest Java technologies and trends to drive innovation and efficiency.

• Lead a team of Java developers in the design and development of software applications;

• Provide technical guidance and expertise in Java development best practices;

• Collaborate with stakeholders to understand business requirements and translate them into technical solutions;

• Conduct code reviews, mentor team members, and ensure adherence to coding standards;

• Troubleshoot technical issues and provide timely resolutions; • Analyze and optimize application performance and scalability;

• Stay up-to-date with the latest Java technologies and trends to drive innovation and efficiency. 

Qualifications

Bachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering

roficient - C2

 Work Mode -Hybrid.(2 Days WFO)

Best Regards,

Roopa.P

Senior Executive(Staffing)

Autosys Engineer with EEM.

 Mandatory Technology: Autosys R12 & above, EEM (Embedded Entitlements Manager), Linux, MSSQL Server, GitLab, Ansible

Roles & Responsibilities:

• Design, build, and integrate new Autosys instances within existing enterprise ecosystems.
• Develop, test, and deploy RPM and MSI packages for Autosys components
• Create and maintain Ansible playbooks for automated installation, configuration management, and patch deployment
• Manage agent deployment, configuration updates, and compliance enforcement across global infrastructure
• Provide Tier 3 and Tier 4 support for Autosys environments serving global operations
• Independently engineer, develop, and maintain proprietary codebases and automation frameworks
• Design and implement frameworks for internal tools development and web portals
• Develop automation solutions, self-service portals, and operational tooling
• Produce comprehensive technical documentation including runbooks, architecture diagrams, and knowledge transfer materials
• Troubleshoot complex issues across Autosys platforms and custom-developed solutions

Key Skills:

• Primary interest and expertise in IT infrastructure domain

Autosys & EEM

• Deep architectural understanding of Autosys components including Application Server, Event Server, and Agent infrastructure

• Expert-level proficiency in configuring Autosys environments from scratch, including complex job workflows, dependencies, and conditional logic

• Implementation and administration of Embedded Entitlements Manager (EEM) with role-based access controls, credential management, and audit compliance

• Configuration of real-time monitoring, alarm management, and integration with enterprise monitoring platforms

• Design and implementation of high-availability failover configurations and backup/restore procedures

• Understanding of TCP/IP protocols, port configurations, and firewall rules for Autosys and EEM communication

Database (MSSQL Server)

• Installation & Integration of MSSQL databases for Autosys Instances

• Implementation of backup strategies and point-in-time recovery procedures

• Analysis of database performance metrics, index optimization, and query execution plans

Operating System

• Strong understanding of Linux/Unix environments where Autosys agents and servers are deployed

• Administration skills for Windows-based Autosys components and agents

• Bash/KSH for system-level automation and integration tasks

• Development, testing, and deployment of RPM and MSI packages for Autosys agents and clients

CI / CD

• Creation and maintenance of Ansible playbooks for automated installation, configuration management, and patch deployment

• Agent deployment, configuration updates, and compliance enforcement

• Dynamic inventory configuration for multi-environment Autosys landscapes

• Automated deployment pipelines and configuration validation

• Proficiency in GitLab workflows including branching strategies, pull requests, and code review processes

• Experience with ServiceNow, CMDB, Grafana, and enterprise monitoring/ITSM platforms

 Soft Skills

• Demonstrated ability to work independently and collaboratively within project teams

• Strong analytical and troubleshooting capabilities for complex, multi-system technical issues

• Excellent written and verbal communication skills for cross-functional collaboration with application teams, DBAs, and infrastructure engineers

• Proven capability to develop and document procedures for production releases, feature enhancements, and operational process documentation for steady-state service management

• Good communications and interpersonal skills

Key Competencies/Behaviors:

• Demonstrated ability to work independently with minimal supervision and take ownership of technical initiatives

• Excellent written and verbal communication skills for effective stakeholder engagement and technical documentation

• Flexible and responsive to changing business requirements, technologies, and operational priorities

• Strong team player with proven ability to work effectively in cross-functional, global teams

• Service-focused mindset with capability to perform effectively in high-pressure, production-critical environments

• Proactive identification of technical and operational risks with ability to propose timely mitigation actions

• Strong technical writing skills for reports, runbooks, and formal documentation

Java Developer – Job Description

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL.

We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.

Required Skills

• Experience: 4 to 7 years.
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About Wissen Technology

Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015.

Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.

Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.

Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

Wissen Technology offers an array of services including:

• Application Development
• Artificial Intelligence & Machine Learning
• Big Data & Analytics
• Visualization & Business Intelligence
• Robotic Process Automation
• Cloud
• Mobility
• Agile & DevOps
• Quality Assurance & Test Automation

We have been certified as a Great Place to Work® for two consecutive years (2020–2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

We are looking for a Data Engineer with at least 1 year of hands-on experience building solutions on Snowflake. The candidate should be comfortable designing, building, and managing reliable data pipelines that move data from multiple sources into a central data platform.

Responsibilities

• Build and maintain data pipelines for ingesting, transforming, and loading data into Snowflake
• Design scalable data models, schemas, tables, and views in Snowflake
• Develop ETL/ELT workflows using SQL, Python, or data orchestration tools
• Integrate data from APIs, databases, files, and third-party platforms
• Monitor pipeline performance, failures, data quality, and freshness
• Optimize Snowflake queries, warehouses, storage, and compute usage
• Implement incremental loads, change data capture, and scheduled workflows
• Work with engineering and business teams to understand data requirements
• Maintain documentation for pipelines, datasets, and data transformations

Requirements

• 1+ year of hands-on experience working with Snowflake
• Strong SQL skills and experience writing complex queries
• Experience building and managing ETL or ELT data pipelines
• Knowledge of data warehousing concepts, dimensional modelling, and data quality
• Experience with Python or another scripting language
• Familiarity with orchestration tools such as Airflow, Dagster, Prefect, dbt, or similar
• Understanding of APIs, relational databases, file formats, and cloud storage
• Ability to troubleshoot pipeline failures and performance issues
• Strong analytical, problem-solving, and communication skills

Good to Have

• Experience with dbt and Snowflake Tasks, Streams, Snowpipe, or Dynamic Tables
• Knowledge of AWS, Azure, or Google Cloud
• Experience with Kafka or other streaming platforms
• Familiarity with CI/CD, Git, monitoring, and data governance practices
• Experience integrating ERP, finance, or operational systems

SQL Server Database Administrator (SQL DBA) – L3 Support

Must attended F2F interview Chennai Location on 24th July 2026

Experience Required

• 5–8 years of relevant experience
• Strong production support experience in enterprise environments

Mandatory Skills

• Microsoft SQL Server 2016/2019/2022
• SQL Server DBA Administration
• T-SQL
• Database Administration
• Performance Tuning
• Backup & Recovery
• Always On Availability Groups
• SQL Server Agent
• SSIS
• Query Optimization
• Index Management
• Disaster Recovery (DR)

Preferred Skills

• Azure SQL
• Database Migration to Azure
• SSRS
• Replication
• Log Shipping
• Failover Clustering

Key Responsibilities

• Administer and support SQL Server databases across Production and Non-Production environments.
• Perform SQL Server installation, configuration, patching, upgrades, and maintenance.
• Manage backup, restore, recovery, and disaster recovery activities.
• Monitor and optimize database performance.
• Configure and support Always On Availability Groups.
• Handle replication, log shipping, and failover clustering.
• Troubleshoot database issues and resolve production incidents.
• Support database migration activities, including Azure migration projects (optional).
• Participate in on-call production support rotations.

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. Here’s a link to our website: www.impactanalytics.co.

The impact you will be making

• Drive the product roadmap, and the product life-cycle for next-generation enterprise supply chain software.
• Partner with multiple stakeholders (e.g., engineering, functional & client success) to define the product vision, brainstorm/validate ideas & concepts, create significant differentiators, and manage the assigned product from inception/early-stage to maturity.
• Drive requirements analysis, build long-term product backlogs, determine the scope of each release, develop user stories, and partner with EMs to oversee the end-to-end execution process (ideation - design – development - quality assurance – launch.)
• Define and track product success metrics, and drive adoption. Incorporate client feedback into the development life-cycle.
• Identify risk parameters (including technical risks), maintain actionable risk registers, and drive the mitigation efforts. Regularly communicate the risk management status with different stakeholders.
• Estimate and track the build and running costs of the product, and provide these inputs to product leadership, finance & sales functions.
• Closely collaborate with UX designers to ensure best-in-class user experience, thereby improving engagement and adoption.

What lands you this role

• At least 6 years of enterprise product management, preferably in Supply chain, ERP or HCM products.
• Solid Agile/Scrum knowledge, especially in software estimation and measurement/reporting. Experience with Jira/Confluence & product management boards.
• Process-oriented with an eye for details, and a keen focus on user experience, design and usability.
• Ability to work in a fast-paced environment, and under minimal supervision.
• Strong interpersonal & communication skills. Experience in working with multiple stakeholders with conflicting priorities.

What we offer

• An opportunity to develop some of the best enterprise SaaS products to be built out of India
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
• A flat, collegial work environment, with a work hard, play hard attitude
• A platform for rapid growth if you are willing to try new things without fear of failure. Job Description | Software Product Manager 1
• Remuneration with best in class industry standards with generous health insurance cover

Some of our accolades include:

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

Job Title: Release Engineer

Job Description

We are seeking a detail-oriented and skilled Mid-Level Release Engineer to manage the deployment and release of modern web applications. The ideal candidate will have hands-on experience deploying Microsoft .NET, Angular, PostgreSQL, MongoDB, and related technologies. You will play a key role in maintaining seamless deployment pipelines, ensuring system reliability, and collaborating across teams to optimize release processes.

·    

Responsibilities 

•  Plan, coordinate, and execute the release of applications developed with Microsoft .NET, ASP.NET, Angular, SQL, PostgreSQL, and MongoDB.
• Manage deployments across multiple environments (development, staging, and production) to ensure smooth transitions.
• Troubleshoot and resolve deployment issues promptly to minimize downtime.
• Design, implement, and maintain CI/CD pipelines using Azure DevOps.
• Automate build and deployment processes for .NET and Angular-based applications.
• Ensure integration and deployment workflows align with agile development practices.
• Set up and maintain environments for Angular front-end, .NET back-end, and database layers (PostgreSQL, MongoDB, SQL Server).
• Collaborate with DevOps and infrastructure teams to optimize environment configurations.
• Oversee database versioning and schema changes during deployments.
• Implement monitoring and logging solutions (e.g., ELK Stack, Splunk, Application Insights) to ensure system reliability.
• Conduct post-release validations and address any immediate issues.
• Support rollback procedures and incident resolutions when necessary.
• Maintain comprehensive release notes, deployment guidelines, and troubleshooting documentation.
• Define and promote best practices for versioning, build automation, and release management.
• Work closely with development, QA, and DevOps teams to ensure alignment on release schedules and requirements.

Education

• BE, B. Tech, M. Tech in Computer Science or equivalent.

Certifications

• Knowledge of Angular.
• Knowledge of Asp. Net.
• Knowledge of Microsoft .Net.
• Knowledge of Mongo DB.
• Knowledge of SQL.
• Knowledge of Postgre SQL.

Work Experience

• 03 to 06 years of experience as Release Engineer.
• Experience in Airlines or travel domain is a plus.

Skills

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong expertise in deploying applications using .NET, Angular, PostgreSQL, and MongoDB.
• Proficiency with Azure DevOps CI/CD platform.
• Solid understanding of scripting for automation using PowerShell, Bash, or Python.
• Hands-on experience with version control systems such as Git or TFS.
• Knowledge of database deployment and migration practices for SQL Server, PostgreSQL, and MongoDB.
• Familiarity with front-end build processes using tools like npm, Webpack, or Angular CLI.
• Strong understanding of agile methodologies and software development lifecycles.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with cloud platforms like Azure or AWS for deployments.
• Experience with cloud-based databases such as AWS RDS, Azure SQL, or GCP Cloud Spanner.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

[This is Remote job as of now but will be hybrid soon

Apply accordingly, Location - Mohali, Chandigarh]

About Oddr

Oddr is an AI-powered revenue-intelligence platform for the legal industry, helping law firms modernize billing, collections, reconciliation, and revenue forecasting across the full invoice-to-cash lifecycle.

Why this role exists

• We're building an end-to-end regression suite from the ground up.
• You'll own that layer. You decide what's worth testing, automate it well, validate new features by hand before they enter regression, and keep the suite trustworthy as the product evolves.
• You'll set the standards the rest of the team works to, and mentor other engineers if needed be a quality champion embedded across the full software development lifecycle ensuring we ship reliable, performant software at pace.
• This is a quality engineering role, not a manual-only QA role. You'll write code, think like a product person, and use AI-assisted tooling to move fast.

What you'll do

•  Own the regression suite end to end - its architecture, conventions, quality bar, and roadmap. You're the person who decides how we test and why.
• Decide what to test. Read a feature, assess risk, and choose the thin layer of E2E coverage that integration tests can't provide - rather than chasing coverage metrics or duplicating existing tests.
• Test new features by hand, then automate them. Exploratory and scenario-based testing of new functionality, followed by adding the durable cases to the Playwright suite.
• Build and maintain automated E2E and cross-service API tests in Playwright + TypeScript that are independent, idempotent, and readable as living specifications.
• Keep the suite trustworthy. Enforce deterministic selectors and assertions, eliminate hardcoded waits, and quarantine flaky tests immediately rather than letting them erode confidence.
• Shape quality upstream. Partner with product and engineering to clarify acceptance criteria and Definition of Done and raise quality risks while they're still cheap to fix.
• Use AI-assisted tooling to accelerate authoring and maintenance (e.g., Claude Code, Playwright MCP, Copilot) - while keeping committed tests deterministic and reviewed.

Must-haves

• Hands-on browser automation with Playwright (or strong Cypress/Selenium with willingness to move to Playwright), in TypeScript/JavaScript. This is the core of the job.
• Ownership mindset - you can take a test suite as your own, set its standards, make and defend trade-off decisions, and say no when coverage isn't worth it.
• Product and feature literacy - you can look at a feature, reason about what matters to users, and translate that into the right tests, acceptance criteria, and risk-based priorities.
• Strong exploratory and scenario-based testing - boundary, negative, and edge-case thinking. (We value this highly; we simply require that you can also automate.)
• Sound E2E test-design judgment - test independence, deterministic and accessibility-first selectors, no hardcoded delays, and disciplined handling of async/timing.
• API testing of REST services and comfort reading Swagger/OpenAPI specs.• Solid SQL skills for data validation and defect investigation.
• Git / pull-request workflow and familiarity with CI/CD (Azure DevOps a plus).
• Clear communication and the ability to mentor; comfortable in Agile/Scrum/Kanban.

Nice-to-have

• Comfort with AI-assisted development tooling (Claude Code, Playwright MCP, Copilot) as an accelerant for writing and self-healing tests.
• Experience building or substantially evolving a test suite from scratch, not just maintaining one.
• Domain exposure to LegalTech, FinTech, or Billing/AR workflows.
• Familiarity testing React applications and component libraries (e.g., Ant Design).
• Awareness of non-functional testing (performance, accessibility, security).

How we work

• Tech: Playwright + TypeScript (unified for E2E and cross-service API), React frontend, .NET backend,Azure DevOps CI/CD.
• AI-first tooling: We actively use AI to author and maintain tests faster - but we hold a high bar on determinism, readability, and flake-free reliability. Tools accelerate the engineer; they don't replace the engineer's judgment.
• Quality bar: UI correctness over presence-only checks; tests read like specifications; flaky tests are quarantined on sight.

What we offer

Competitive salary, performance bonus, and equity (ESOPs); comprehensive health insurance (self, spouse, parents, children); flexible remote-first culture.

Hiring for Engineering Manager – Data Engineering

Exp : 10 - 15 yrs

Work Location : Pune WFO

Must Have Skills :

10+ years of experience in Data Engineering.

3+ years of experience leading Data Engineering teams.

Must be a Manager

Strong hands-on experience with Databricks on Azure. 

Strong expertise in PySpark, Spark SQL, Python, and SQL.

Hands-on experience with Delta Lake, Delta Live Tables (DLT), Unity Catalog, Databricks Workflows, and Auto Loader.

Experience designing and building enterprise-scale data platforms.

Strong knowledge of ETL/ELT, Medallion Architecture, and batch & streaming data pipelines.

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.

Build backend systems that make complex workflows reliable, maintainable, and easier to evolve. You’ll work on production Python services, modernize existing applications, and deliver APIs and integrations used by real teams.

The role is focused on backend development using Python, Django, and FastAPI, with occasional contributions to frontend applications built with React or Next.js. You will work across API development, system integrations, data workflows, background processing, and the modernization of existing services.

You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar tools.

This is a backend-first role for an engineer who understands that testing, security, reliability, and observability are core parts of production software development.

What you'll do

• Own the delivery and day-to-day reliability of clearly scoped backend features and APIs built with Python, Django, and FastAPI.
• Improve the maintainability of existing services by simplifying legacy workflows, business logic, data models, and integrations.
• Deliver secure, well-documented APIs that enable frontend applications, internal tools, and third-party integrations.
• Keep data workflows reliable through safe schema changes, migrations, backfills, validation, and failure recovery.
• Build background jobs and asynchronous workflows that handle retries, timeouts, rate limits, idempotency, and operational failures.
• Raise confidence in releases through automated tests, thoughtful code reviews, and production-readiness checks.
• Improve performance and reliability using profiling, query optimization, caching, monitoring, and practical fault handling.
• Make services easier to operate by maintaining useful logs, metrics, dashboards, alerts, and runbooks.
• Contribute to React or Next.js integrations and internal administration interfaces when needed to deliver complete product outcomes.
• Collaborate with product, frontend, platform, DevOps, SRE, and operations teammates to ship well-scoped solutions and document technical decisions.

What we're looking for

Required

• 3–5 years of professional software engineering experience, mainly in backend development.
• Good proficiency in Python and production experience with either Django or FastAPI, with willingness to learn the other.
• Practical experience designing REST APIs and integrating with third-party or internal services.
• Working knowledge of SQL, relational databases, an ORM such as Django ORM or SQLAlchemy, and database migrations.
• Experience writing automated tests and diagnosing defects or production issues.
• Good problem-solving, communication, documentation, and collaboration skills.

Preferred

• Familiarity with background jobs or asynchronous processing using Celery, SQS, RabbitMQ, Kafka, or similar tools.
• Experience deploying or supporting applications on AWS or another cloud platform.
• Familiarity with structured logging, metrics, dashboards, alerts, and observability tools.
• Exposure to React or Next.js integrations.
• Experience with Docker, Redis, webhooks, queues, or event-driven systems.
• Familiarity with CI/CD pipelines, infrastructure-as-code, secrets management, and least-privilege access.
• Experience helping with production incidents, performance testing, or safe deployment practices.

Who are we?

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do?

We build powerful analytics in the US and Indian stock market space that are best-in-class. Organic growth in B2B and B2C products has already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Visit us at trendlyne.com, or look for the Trendlyne mobile app on the Google Play Store:

https://play.google.com/store/apps/details?id=com.trendlyne.markets

Tech Stack:

• Postman
• Newman
• Bruno 
• Playwright
• Selenium
• Puppeteer 

Job Responsibilities : 

• Design, develop, and maintain scalable UI and API automation frameworks from scratch.
• Build and execute automated test suites for frontend, backend, and API applications using tech stacks like Playwright, Selenium, Puppeteer, Postman, Newman, and Bruno.
• Develop automation for web applications, APIs, and distributed microservices.
• Perform white-box and black-box testing to ensure application quality.
• Integrate automation suites into CI/CD pipelines using tools like Newman and Bruno CLI.
• Identify, track, and resolve defects while improving test stability, execution speed, and overall automation efficiency.
• Collaborate with developers, DBAs, and product managers to ensure quality throughout the development lifecycle.
• Mentor junior QA engineers, review automation scripts, and promote best practices in quality engineering.
• Drive continuous improvements in automation frameworks, testing methodologies, and engineering processes.

Required Skills & Qualifications:

• 4+ years of experience as an SDET, Automation Engineer, or Full-Stack QA.
• Hands-on experience with UI automation using Playwright, Selenium, and/or Puppeteer.
• Strong experience in API testing and automation using Postman / Newman or Bruno.
• Proficient in JavaScript for building automation scripts, API test assertions, and test utilities.
• Strong understanding of REST APIs, HTTP/HTTPS, JSON, authentication mechanisms (JWT/OAuth), and microservices architecture.
• Experience with white-box and black-box testing, and automation design patterns such as Page Object Model (POM).
• Familiarity with BDD frameworks (e.g., Cucumber) and modern testing practices.
• Experience with Git and integrating automation suites into CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Working knowledge of SQL for database validation and backend testing.

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Job Title : Senior Software Engineer (Python, Golang, Node.js, Elixir, SQL)

Experience : 5+ Years

Location : Mumbai (Work From Office)

Employment Type : Full Time Opportunity

Job Summary :

We are looking for a Senior Software Engineer with strong backend development experience to build scalable, cloud-native applications and distributed systems.

The ideal candidate should have experience in product-based environments, designing microservices, REST APIs, and customer-facing production applications while collaborating with cross-functional teams.

Mandatory Skills :

Backend Development, Python, Golang, Node.js, Elixir, SQL, Cloud-Native Architecture, REST APIs, Microservices, Distributed Systems, Cloud Platforms, Relational & NoSQL Databases, Platform Engineering, CI/CD, Production Support, System Design

Key Responsibilities :

• Design and develop scalable backend services, REST APIs, and microservices.
• Build and enhance cloud-native, high-performance applications.
• Participate in architecture and system design discussions.
• Collaborate with Product, DevOps, Security, and Data Engineering teams.
• Troubleshoot production issues and optimize application performance.
• Mentor team members and contribute to engineering best practices.

Required Skills :

• 5+ years of software development experience in product-based organizations.
• Strong backend development using Python, Golang, Node.js, Elixir, or similar technologies.
• Experience with REST APIs, Microservices, SQL, and Distributed Systems.
• Strong understanding of cloud platforms and cloud-native architecture.
• Hands-on experience with relational and NoSQL databases.
• Familiarity with CI/CD, monitoring, and DevOps practices.

Preferred Skills :

• Experience building highly scalable distributed systems.
• Strong debugging, troubleshooting, and performance optimization skills.
• Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
• Excellent communication, collaboration, and problem-solving abilities.
• Experience mentoring engineers and leading technical initiatives.

Job Title: 

Role Overview

We are seeking a high-performing Senior Power BI Analyst / Developer to design, build, and optimize our next-generation enterprise analytics platform. In this role, you will be the core architect of our data visualization layer, turning complex data streams into actionable executive insights.

The ideal candidate bridges the gap between traditional business intelligence and modern cloud data engineering. You will be responsible for building highly performant, scalable data models on Azure and creating seamless, near real-time reporting solutions utilizing streaming data and Change Data Capture (CDC) pipelines.

Key Responsibilities

1. Advanced Data Modeling & Performance Tuning

Design, implement, and maintain enterprise-grade, highly scalable data models (Star and Snowflake schemas) within Power BI and Azure Analysis Services/Fabric.

Optimize complex DAX queries, M code, and data loading processes to ensure sub-second dashboard responsiveness on large-scale datasets.

Implement advanced performance-tuning strategies, including aggregations, incremental refreshing, and hybrid tables (combining Import and DirectQuery).

2. Streaming Analytics & Real-Time Reporting

Architect and implement near real-time dashboards utilizing Power BI streaming datasets, push datasets, and automatic page refreshes.

Integrate reporting front-ends with modern Change Data Capture (CDC) architectures to surface low-latency transactional updates.

Partner with data engineering teams to ingest and model fast-moving event data coming from cloud streams into analytical reporting structures.

3. Azure Architecture Integration

Leverage the Azure data stack (Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Databricks, and Azure SQL DB) to build robust downstream reporting layers.

Participate in the orchestration of data pipelines (using Azure Data Factory or Synapse pipelines) to align with dashboard refresh schedules.

Embrace modern Power BI developer workflows using Tabular Editor, ALM Toolkit, DAX Studio, and Git integration for version control.

Required Technical Skills & Qualifications

Experience: 3-5+ years of dedicated experience developing, modeling, and tuning enterprise Power BI solutions, with at least 2+ years operating within an Azure cloud ecosystem.

Expert DAX & Power Query: Mastery of complex DAX computations (time-intelligence, advanced filtering) and optimized M-code data transformations.

Modern Data Paradigms: Proven experience handling Streaming Data or CDC (Change Data Capture) patterns (e.g., streaming from Debezium, Azure Event Hubs, Kafka, or Synapse Link) into Power BI.

Azure Stack Expertise: Solid working knowledge of Azure data resources (Synapse, Data Factory, Azure SQL, or Azure Fabric Lakehouses).

Data Engineering Concepts: Deep understanding of data warehousing concepts, including slowly changing dimensions (SCDs), partitioning, and indexing strategies.

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field (or equivalent practical experience).

Preferred (Nice-to-Have) Skills

Microsoft Certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).

Experience with CI/CD deployment pipelines for Power BI deployment pipelines or Azure DevOps.

Familiarity with SQL performance tuning (analyzing execution plans, optimizing views, and indexing).

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

Meet the Team: Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.

Role Overview: This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:

● Drive complex backend architecture initiatives that span across multiple engineering and technology domains.

● Lead strategic R&D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide. ● Spearhead our Multi-Cloud & Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.

What our ideal candidate may look like:

● 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.

● A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.

● Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.

● In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support

● Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.

● Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.

● Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.

● Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.

● Proven experience mentoring engineers and guiding architectural decisions at scale.

What We Offer

● Opportunity to lead large, high-impact projects for global Fortune 500 clients.

● Work in a high-growth startup environment with a flat, collegial culture.

● Best-in-class remuneration and benefits.

● A platform for personal and professional growth with ownership and autonomy.

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

Job Title : Senior Software Engineer

Experience : 5+ Years

Location : Mumbai (Work from Office)

Notice Period : Immediate to 15 Days

Mandatory Skills :

Platform Engineering, Backend Development, Python/Golang/Node.js/Elixir, Microservices, REST APIs, Cloud-Native Architecture, Distributed Systems, SQL, Cloud Platforms (AWS/Azure/GCP), Product-Based Experience

Role Overview :

We are looking for a Senior Software Engineer with strong backend engineering expertise to design, build, and scale cloud-native platform services. The ideal candidate should have experience working in product-based organizations, building highly scalable distributed systems, and contributing to platform engineering initiatives.

You will work closely with Product, DevOps, Security, and Engineering teams to build reliable, secure, and high-performance backend systems while driving technical excellence across the organization.

Key Responsibilities :

• Design, develop, and enhance core platform modules and shared backend services.
• Build scalable REST APIs, backend services, and data pipelines for high-volume production environments.
• Participate in architecture discussions and contribute to technical design decisions.
• Collaborate with Product, DevOps, Security, and Data Engineering teams to deliver scalable solutions.
• Design systems with a focus on scalability, performance, security, maintainability, and reliability.
• Troubleshoot complex production issues and implement permanent solutions.
• Review code, mentor engineers, and promote engineering best practices.
• Improve platform reliability, observability, and developer productivity.
• Drive continuous improvements in coding standards, architecture, and development processes.

Required Skills & Qualifications :

• 5+ years of software development experience in product-based companies (B2B experience preferred).
• Strong backend development experience using one or more of :
• Python
• Golang
• Node.js
• Elixir
• Hands-on experience with Microservices Architecture.
• Strong understanding of Cloud-Native Application Development.
• Experience designing and developing RESTful APIs and backend services.
• Minimum 3 years of experience working on cloud-based, customer-facing production applications.
• Strong knowledge of Distributed Systems Design.
• Experience with relational and NoSQL databases.
• Good understanding of SQL and data modeling.
• Experience designing reusable platform services consumed by multiple engineering teams.
• Strong product mindset with the ability to balance business requirements and technical excellence.
• Backend-focused engineer with exposure to frontend technologies.

Preferred Skills :

• Experience building highly scalable distributed platforms.
• Strong debugging and performance optimization skills.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
• Excellent analytical, communication, and problem-solving skills.
• Experience mentoring engineers and driving technical initiatives.

Preferred Background :

• Product-Based Organization
• Platform Engineering Team
• FinTech or B2B SaaS products (preferred)

Job Title: AI & Automation Engineer

Experience: 3–5 Years

Employment Type: Full-time

Location: On-site

About the Role

We are looking for a passionate and hands-on AI & Automation Engineer to build intelligent automation solutions that improve efficiency and drive business scalability. In this role, you will design and develop automated workflows, build web scrapers and data pipelines, integrate AI/LLM APIs, and create smart systems that eliminate repetitive manual processes.

This position is ideal for someone who enjoys solving real-world business problems using automation, scripting, machine learning, and artificial intelligence technologies.

Key Responsibilities

Design, develop, and maintain automation workflows using platforms such as n8n, Make (Integromat), Zapier, and custom scripts.

Build automation solutions using Python and Google Apps Script for Google Workspace applications, including Google Sheets, Docs, Forms, and Gmail.

Develop and maintain web scraping solutions and data extraction pipelines using tools such as BeautifulSoup, Scrapy, Playwright, or Puppeteer, while adhering to ethical and legal guidelines.

Apply AI and Machine Learning techniques for classification, prediction, data enrichment, document processing, and content generation.

Integrate LLM APIs such as OpenAI, Anthropic Claude, and other AI services into internal tools and automated workflows.

Develop integrations between SaaS platforms, CRMs, databases, spreadsheets, and third-party APIs.

Analyze existing business processes and design end-to-end automation solutions that improve operational efficiency.

Design, manage, and optimize SQL/NoSQL databases supporting automation workflows.

Monitor, troubleshoot, and maintain automation systems to ensure high reliability, scalability, and performance.

Implement proper logging, error handling, monitoring, and documentation for all automation solutions.

Collaborate with cross-functional teams to identify automation opportunities and deliver scalable AI-powered solutions.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Information Technology, B.E., B.Tech, BCA, MCA, or equivalent practical experience.

3–5 years of experience in automation engineering, scripting, AI integration, or related technical roles.

Strong proficiency in Python and/or Google Apps Script.

Hands-on experience with automation platforms such as n8n, Make (Integromat), Zapier, or similar tools.

Experience developing web scrapers using BeautifulSoup, Scrapy, Playwright, Puppeteer, or equivalent frameworks.

Practical experience integrating AI/LLM APIs into business applications.

Good understanding of Machine Learning fundamentals and AI-powered automation.

Strong knowledge of REST APIs, JSON, Webhooks, Authentication, and API integrations.

Experience working with SQL and NoSQL databases.

Strong analytical, debugging, and problem-solving abilities.

Ability to design scalable automation systems from scratch with minimal supervision.

Preferred Skills

Experience with Scikit-learn, TensorFlow, or PyTorch.

Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), and AI Agents.

Experience with Prompt Engineering and Agentic AI Workflows.

Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Experience with Docker, serverless architectures, and cloud-based deployments.

Basic front-end development skills (HTML, CSS, JavaScript) for building internal dashboards and tools.

What We're Looking For

Strong passion for automation and AI technologies.

A builder mindset with the ability to transform manual processes into intelligent automated systems.

Excellent problem-solving and logical thinking skills.

Self-motivated, detail-oriented, and eager to learn emerging AI technologies.

Strong communication and collaboration skills.

Ability to work independently while contributing effectively within a team.

Why Join Us?

Work on cutting-edge AI and automation projects.

Build intelligent systems that have a direct business impact.

Opportunity to experiment with the latest AI technologies and LLMs.

Collaborative environment with continuous learning and growth opportunities.

Exposure to modern automation platforms, cloud technologies, and scalable AI solutions.

Company Name- WINIT

Location- Hyderabad

Position- Data Scientist

Experience- 0-1 year

We are seeking a talented Data Scientist proficient in data science, machine learning, deep learning, computer vision, simulation, feature engineering, Python, and SQL. 

Responsibilities:

• Develop and implement machine learning and deep learning algorithms for image recognition tasks.
• Utilize computer vision techniques to extract meaningful information from images.
• Collaborate with software engineers to integrate image recognition models into existing systems.
• Design and implement simulation models for route optimization, demand forecasting, and trade promo optimization scenarios.
• Perform feature engineering to extract relevant features for optimization algorithms.
• Work with large datasets, cleaning, preprocessing, and transforming data as necessary.
• Develop and optimize SQL queries to extract and analyze data from databases.
• Participate in the end-to-end development lifecycle, from problem definition to deployment.
• Stay updated with the latest advancements in machine learning, computer vision, route optimization, demand forecasting, and trade promo optimization techniques.

Requirements:

• Bachelor's or Master's degree in computer science, Data Science, or related field.
• Proven experience in data science, machine learning, and deep learning projects, preferably with a focus on computer vision.
• Strong proficiency in Python programming and experience with relevant libraries such as TensorFlow, PyTorch, OpenCV, etc.
• Solid understanding of SQL for data manipulation and extraction.
• Experience with simulation techniques, route optimization algorithms, demand forecasting, and trade promo optimization is a plus.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

*Stay updated on machine learning/deep learning/reinforcement learning/Generative AI/Time series forecasting/Operations Research

About our company:

Please visit our company website at: www.winitsoftware.com

About the job

Must-Have Skills

• 5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
• Strong SQL — advanced query optimization, indexing, partitioning strategies
• Data modeling — dimensional modeling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design
• Cloud data platforms — hands-on with AWS (Redshift, S3, Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
• Big data ecosystems — Spark, Hadoop, or Kafka for large-scale/streaming data
• Data warehousing — Snowflake, Redshift, BigQuery, or Databricks
• ETL/ELT pipeline design — Airflow, dbt, Fivetran, or similar orchestration tools
• Data governance & security — data lineage, access control, compliance (GDPR/SOC2), master data management

Strongly Preferred

• Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows)
• Programming — Python or Scala for pipeline development
• API/microservices architecture exposure — understanding how data systems integrate with application layers
• Experience with data mesh / data lake house architectures
• Prior experience presenting architecture decisions to leadership/stakeholders

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of th eAgentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. Here’s a link to our website: www.impactanalytics.co.

The impact that you will be making

As a senior data scientist, you will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, performing statistical analysis, and building high quality prediction systems that can be integrated with our products.

What this role entail

● Understand and translate statistics and analytics to address client business problems.

● Apply Statistical forecasting algorithms to forecast client business needs for short term and long-term horizon.

● Explore Machine learning and Deep learning techniques to improve statistical Forecasting accuracy.

● Create business narrative by using storytelling and Visualization techniques and to present analytical insights to clients.

● Structure business problems and design solutions to meet client needs.

● Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams.

● Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights.

What lands you in this role

● At least 3 years hands-on experience as a data scientist working on SQL, Python

● Must have exposure to developing predictive analytics and machine learning algorithms for business applications

● Strong forecasting and Deep Learning experience will be a plus

● Hands-on experience in relevant tools like SQL, Python, Tableau, etc.

● B Tech/ BE or equivalent degree in Data Science, Statistics, Computer Science, or similar

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software Leaderboard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications. Economic Times News about our funding can be accessed here.

🚀 Hiring: .Net + Reactjs Developer

⭐ Experience: 5+ Years

📍 Location: Gurgaon

⭐ Work Mode:- 5 Days Work from office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We're looking for a skilled .NET Core + React.js Developer to join our engineering team.

✅ Required Skills

• Strong hands-on experience with .NET Core (C#).
• Experience developing applications using React.js and modern JavaScript (ES6+).
• Solid knowledge of SQL Server, T-SQL, stored procedures, and query optimization.
• Experience building REST APIs and microservices.
• Understanding of authentication and authorization mechanisms (JWT/OAuth2).
• Familiarity with Git, CI/CD pipelines, and Agile development practices.

⭐ Preferred Skills

• Azure DevOps or GitHub Actions
• Docker & Kubernetes
• Experience working with cloud-based applications is a plus.
• 
  

🎯 Mandatory Skills

• .NET Core (C#)
• React.js
• SQL Server

Why Join Us?

• Work on modern technologies and enterprise-scale applications.
• Collaborative and innovation-driven engineering culture.
• Opportunities to learn, grow, and make an impact.
• Exposure to cloud, DevOps, and microservices architecture.

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Position: Data Engineer

Location: Ahmedabad, Gujarat (Onsite)

Employment Type: Full-Time

Experience Required: 3–6 Years

Notice Period: 30–60 Days

Interview Process

• 3 Virtual Interview Rounds
• Final Round at Ahmedabad Office

Required Skills

• Strong experience in Python and SQL
• Hands-on experience with ETL/ELT processes and data pipelines
• Experience with cloud platforms such as AWS, GCP, or Azure
• Knowledge of data warehousing concepts (Snowflake, BigQuery, Redshift, etc.)
• Familiarity with tools such as dbt, Airflow, or similar
• Good communication skills in English
• Strong analytical and problem-solving abilities with a collaborative mindset

Good to Have

• Experience in data modeling and performance optimization
• Exposure to real-time data processing and streaming technologies
• Understanding of data governance and data quality best practices

If this opportunity aligns with your experience and career goals, please share your updated resume

Job Title: QA Automation Engineer (Python)

Location – Work from Home (India)

Experience – 5 – 8 Years

Education – MCA, B.E/B-Tech-Computers

Shift :  Evening shift timings (4 PM – 1 AM IST) 

Job Description : 

We are seeking a highly skilled and experienced QA Automation Engineer with over 5 years of experience in both automation and manual testing. The ideal candidate will possess strong expertise in Python, Playwright, PyTest, Pywinauto, and Java with Selenium, API testing with Rest Assured, and SQL.

Experience in the mortgage domain, Azure DevOps, and desktop & web application testing is essential.

Key Responsibilities

• Design and develop automation test scripts using Python, Playwright, PywinAuto, and PyTest.
• Design, develop, and maintain automation frameworks for desktop applications using Java with WinAppDriver and Selenium, and Python with Pywinauto.
• Understand business requirements in the mortgage domain and prepare detailed test plans, test cases, and test scenarios.
• Define automation strategy and identify test cases to automate for web, desktop, and API testing.
• Perform manual testing for desktop, web, and API applications to validate functional and non-functional requirements.
• Create and execute API automation scripts using Rest Assured for RESTful services validation.
• Perform SQL queries to validate backend data and ensure data integrity in mortgage domain application.
• Use Azure DevOps for test case management, defect tracking, CI/CD pipeline execution, and test reporting.
• Collaborate with DevOps and development teams to integrate automated tests within CI/CD pipelines.
• Proficient in version control and collaborative development using Git.
• Experience in managing test automation projects and dependencies using Maven.
• Work closely with developers, BAs, and product owners to clarify requirements and provide early feedback.
• Report and track defects with clear reproduction steps, logs, and screenshots until closure.
• Apply mortgage domain knowledge to test scenarios for loan origination, servicing, payments, compliance, and default modules.
• Ensure adherence to regulatory and compliance standards in mortgage-related applications.
• Perform cross-browser testing and desktop compatibility testing for client-based applications.
• Drive defect prevention by identifying gaps in requirements and suggesting improvements.
• Ensure best practices in test automation – modularization, reusability, and maintainability.
• Provide daily/weekly status reports on testing progress, defect metrics, and automation coverage.
• Maintain documentation for automation frameworks, test cases, and domain-specific scenarios.
• Experienced in working within Agile/Scrum development environments.
• Proven ability to thrive in a fast-paced environment and consistently meet deadlines with minimal supervision.
• Strong team player with excellent multitasking skills, capable of managing multiple priorities in a deadline-driven environment.

Key requirements

• 5+ years of experience in Quality Assurance (manual and automation).
• Strong proficiency in Python, Pywinauto, PyTest, Playwright and Java with Selenium.
• Hands-on experience with Rest Assured for API automation.
• Expertise in SQL for backend testing and data validation.
• Experience in mortgage domain applications (loan origination, servicing, compliance).
• Knowledge of Azure DevOps for CI/CD, defect tracking, and test case management.
• Proficiency in testing desktop and web applications.
• Excellent collaboration and communication skills to work with cross-functional global teams.

Job Title: Data Operations Specialist

Location: Jaipur (Candidates should be ready to relocate) (Nearby Locations)

Experience: 4–6 Years

Employment Type: Full-Time, Permanent

CTC: Up to ₹8 LPA

Shift Timings: 10:00 AM – 7:00 PM IST

Reporting To: VP – Delivery / Manager (as assigned)

About the Role

We are looking for a detail-oriented and analytical Data Operations Specialist to support our data-driven initiatives by ensuring the accuracy, consistency, and reliability of business data. The ideal candidate will have hands-on experience in data operations, SQL, ETL processes, and data quality management while collaborating with cross-functional teams to optimize data workflows and support business decision-making.

Key Responsibilities

• Execute data collection, enrichment, validation, and delivery activities for internal and customer projects.
• Monitor and improve data quality by identifying inconsistencies, resolving discrepancies, and implementing corrective measures.
• Develop and optimize SQL queries for data extraction, validation, and reporting.
• Collaborate with Engineering teams to support data integration, automation, and scalable data processes.
• Partner with Product, Business, and Operations teams to understand data requirements and deliver accurate datasets.
• Maintain data integrity by following data governance standards and quality assurance best practices.
• Validate and integrate external data sources and vendor-provided datasets.
• Support continuous improvement initiatives for data workflows and operational efficiency.
• Create reports and dashboards using data visualization tools to provide actionable business insights.
• Ensure compliance with organizational data standards and privacy regulations.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 4–6 years of experience in Data Operations, Data Management, Business Intelligence, or Data Analytics.
• Strong understanding of Data Governance, ETL processes, Data Validation, and Data Quality methodologies.
• Proficiency in SQL for querying and data manipulation.
• Advanced knowledge of Microsoft Excel or Google Sheets.
• Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Ability to work independently and deliver reliable, high-quality solutions.
• Excellent verbal and written communication skills in English.
• Experience collaborating with cross-functional teams in a fast-paced environment.

Preferred Skills

• Experience with Python scripting or automation tools.
• Exposure to SaaS, B2B Data, Lead Intelligence, or Data Enrichment platforms.
• Knowledge of GDPR, CCPA, and other data privacy regulations.
• Familiarity with data integration tools and workflow automation.
• Ability to thrive in global and remote collaborative environments.

Job Title : Senior Support Engineer

Experience : 5+ Years

Location : Remote

Employment Type : Contract

About the Role :

We are hiring a Senior Support Engineer to provide production support for enterprise data products, APIs, and customer-facing applications supporting a leading telecommunications client. You will be responsible for incident triage, stakeholder communication, issue coordination, and ensuring SLA-driven support while working closely with SRE, Data Engineering, API, ML, and Cybersecurity teams.

Mandatory Skills :

Technical Support, Production Support, Incident Management, ServiceNow/Jira Service Management, SQL, Postman, REST APIs, ITSM, SLA Management, Troubleshooting, Stakeholder Management

Key Responsibilities :

• Monitor and triage production incidents across APIs, web portals, and data platforms.
• Perform initial troubleshooting using logs, SQL, and API testing tools.
• Log, prioritize, and track incidents using ITSM tools.
• Coordinate with engineering teams for issue resolution and follow up until closure.
• Communicate incident status, resolution timelines, and maintenance updates to stakeholders.
• Maintain support documentation, runbooks, FAQs, and knowledge base.
• Identify recurring issues and recommend long-term improvements.

Required Skills :

• 5+ years of experience in Technical Support, Production Support, or Service Desk.
• Strong experience with Incident Management and SLA-driven support.
• Hands-on experience with ServiceNow, Jira Service Management, or similar ITSM tools.
• Working knowledge of SQL, REST APIs, and Postman/API testing.
• Excellent troubleshooting, communication, and stakeholder management skills.
• Understanding of data privacy and enterprise support processes.
• ITIL Foundation Certification is a plus.

Why Join Us ?

• 100% Remote Opportunity
• Work with a leading global telecommunications client.
• Collaborate with cross-functional teams including SRE, Data Engineering, ML, API, and Cybersecurity.
• Opportunity to support enterprise-scale data platforms and mission-critical applications.

Location: Hyderabad (Hybrid)

At KnackLabs, the AI innovation arm of CAW Studios, we help enterprises transform their businesses through AI Agents, Voice AI, Enterprise Automation, and AI-native products.

Our team builds production-grade AI systems that solve real-world business problems using Large Language Models (LLMs), Agentic AI, and modern engineering practices.

If you're passionate about quality and excited to work on the next generation of AI-powered applications, we'd love to hear from you.

Key Responsibilities

● Understand business requirements and create effective test scenarios and test cases.

● Perform Functional, Regression, Integration, Smoke, Sanity, Exploratory, and UI testing.

● Execute end-to-end testing for web applications, APIs, and AI-powered features.

● Validate AI-based applications such as chatbots and LLM-powered workflows for expected behavior, accuracy, and usability.

● Perform API testing using Postman or Swagger.

● Identify, report, track, and verify defects using Jira or similar tools.

● Validate application data using basic SQL queries.

● Collaborate with developers, product managers, and AI engineers in Agile teams.

● Maintain test cases, test execution reports, and QA documentation.

● Participate in sprint planning, release validation, and QA reviews. Required Technical Skills

● Good understanding of SDLC, STLC, and software testing fundamentals.

● Knowledge of Functional, Regression, Integration, Smoke, Sanity, and Exploratory Testing.

● Hands-on experience with Postman for API testing.

● Familiarity with Jira or similar bug tracking tools.

● Basic knowledge of SQL, REST APIs, JSON, and HTTP methods.

● Understanding of Agile/Scrum methodologies.

● Exposure to Selenium, Cypress, or Playwright is an added advantage.

Basic AI Knowledge (Preferred)

● Basic understanding of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs).

● Familiarity with AI tools such as ChatGPT, Gemini, Claude, or similar. ● Basic understanding of prompt-based applications and AI chatbots.

● Awareness of testing AI-generated responses for accuracy, consistency, and edge cases.

● Curiosity to learn and work on AI and Agentic AI applications. Qualifications & Skills

● Bachelor's degree in Computer Science, Information Technology, or a related field.

● 0–2 years of experience in Manual Testing (internships, academic projects, or full-time experience).

● Strong analytical and problem-solving skills.

● Excellent attention to detail and documentation.

● Good verbal and written communication skills.

● Self-driven, collaborative, and eager to learn emerging technologies.

Good to Have Manual Testing

• API Testing • Postman • Jira • SQL • REST APIs • JSON • Agile • Selenium/Cypress (Basic) • AI & LLM Basics • ChatGPT/Gemini • Prompt Validation