50+ SQL Jobs in Bangalore (Bengaluru) | SQL Job openings in Bangalore (Bengaluru)

About Nuware

NuWare is a global technology and IT services company built on the belief that organizations require transformational strategies to scale, grow and build into the future owing to a dynamically evolving ecosystem. We strive towards our clients’ success in today’s hyper-competitive market by servicing their needs with next-gen technologies - AI/ML, NLP, chatbots, digital and automation tools.

We empower businesses to enhance their competencies, processes and technologies to fully leverage opportunities and accelerate impact. Through our focus on market differentiation and innovation - we offer services that are agile, streamlined, efficient and customer-centric.

Headquartered in Iselin, NJ, NuWare has been creating business value and generating growth opportunities for clients through its network of partners, global resources, highly skilled talent and SME’s for 25 years. NuWare is technology agnostic and offers services for Systems Integration, Cloud, Infrastructure Management, Mobility, Test automation, Data Sciences and Social & Big Data Analytics.

About the role

We are hiring for a skilled Manual Tester with 3-5 years of experience. The candidate should have strong experience in testing software applications that are both web based and windows. Should have good knowledge of test case design techniques, test planning and reporting. The candidate should have the ability to understand software requirements and derive test cases from them. 

Skills Required

• Good knowledge of manual testing process and experience in testing web applications
• Good communication skills
• Good knowledge SQL queries
• Knowledge of API testing good to know

Senior Data Scientist (ML) – 5+ Years

Required Skills:

• 5+ years of experience in Data Science/ML
• Strong knowledge of Probability & Statistics
• Strong educational background in Statistics or Mathematics (degree/course specialization). 
• Good understanding of core Machine Learning algorithms
• Proficiency in Python, PySpark, and SQL
• Experience with Databricks, Azure ML, SageMaker, or Vertex AI
• Hands-on experience in Natural Language Processing (NLP)
• Understanding of Transformer-based models and architectures
• Ability to build, deploy, and optimize ML solutions at scale

Automation SDET (Java + Selenium)

Experience

5 – 12 Years

Location

Bangalore | Chennai | Pune | Hyderabad | Gurgaon | Trivandrum | Bhubaneswar | Kolkata

About the Role

We are looking for a highly skilled Automation SDET with strong expertise in Java-based test automation. This role is ideal for professionals who enjoy owning automation strategy, designing robust test frameworks, and mentoring team members while remaining hands-on.

You will work closely with development, product, and DevOps teams to ensure high-quality software delivery in an Agile environment.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java and Selenium
• Perform API automation testing using Rest Assured
• Create and execute automated and manual test cases, test scripts, and test plans
• Prepare and maintain Traceability Matrix (RTM) and test documentation
• Apply BDD frameworks (Cucumber or similar) for automation scenarios
• Execute database validations using SQL queries
• Lead and mentor a medium-sized QA team while remaining hands-on
• Contribute to automation strategy, test design techniques, and best practices
• Participate actively in Agile ceremonies and collaborate across onsite–offshore teams
• Track defects and test execution using tools like ALM and JIRA
• 
  

Must-Have Skills

• 5+ years of experience in Automation Testing / SDET roles
• Strong hands-on expertise in Java and Selenium
• In-depth understanding of Core Java concepts:
• 
  
• OOP principles
• Collections Framework
• Exception Handling
• 
  
• Hands-on experience with API automation (Rest Assured)
• Strong SQL skills for backend data validation
• Experience working with BDD frameworks (Cucumber, etc.)
• Solid understanding of software QA methodologies, tools, and processes
• 
  

Leadership & Collaboration Skills

• Ability to work independently and take ownership of deliverables
• Experience leading and mentoring a QA team
• Comfortable working in an onsite–offshore delivery model
• Strong communication and stakeholder management skills
• 
  

Good to Have

• Experience with CI/CD tools (Jenkins, Git, Maven/Gradle)
• Exposure to cloud-based testing or microservices architectures
• Domain experience in BFSI, Telecom, or Retail (preferred but not mandatory)

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Job Summary

We are seeking an experienced BI Developer with strong expertise in Power BI/Tableau and Azure to support large-scale business intelligence initiatives, including report development, dashboarding, and platform transformation.

The ideal candidate will have a strong focus on data visualization, storytelling, and analytics delivery, along with experience in BI platform management and migration. You will play a key role in designing intuitive, high-impact dashboards and ensuring business users have actionable insights readily available.

Key Responsibilities

BI Development, Visualization and Dashboarding

• Design and implement reports, interactive dashboards, and data models using BI tools to enable data-driven decision-making
• Work with Data Product Owners and stakeholders to understand analytical goals and translate them into impactful dashboards
• Develop intuitive, visually compelling dashboards with a strong focus on usability and storytelling
• Identify and rapidly resolve issues related to data visualization, performance, and user experience
• Ensure consistency, standardization, and reusability across dashboards and reporting layers

BI Migration and Transformation

• Lead or support migration of reports and dashboards across BI platforms (e.g., Tableau to Power BI)
• Translate existing reports into optimized, scalable Power BI solutions
• Improve reporting frameworks during migration for better performance and usability

Data Modeling and Integration

• • Develop robust data models using Power BI (DAX, Power Query) or equivalent tools
• • Work closely with data engineers, analysts, and scientists to build reliable datasets for reporting
• • Validate and optimize data pipelines feeding BI systems
• • Ensure data accuracy, consistency, and governance across reporting solutions

Collaboration and Cross-Functional Delivery

• Collaborate closely with data engineers, data analysts, and data scientists to deliver end-to-end analytics solutions
• Work with business stakeholders to refine requirements and improve reporting outcomes
• Contribute to building scalable and reusable reporting frameworks

BI Platform Administration and Management

• Administer BI platforms such as Power BI, Tableau, or SAP BO
• Manage workspaces, access control, tenant settings, and user permissions
• Handle capacity planning, cost optimization, and resource utilization
• Perform regular housekeeping and monitor usage to optimize platform efficiency

Platform Maintenance and Reliability

Ensure platform performance, scalability, security, compliance, and uptime

Plan and execute platform maintenance, including patching and release management

Support platform “evergreening” and manage audit logs for troubleshooting

Infrastructure, Deployment and Monitoring

• Support installation, configuration, and setup of BI tools and environments
• Design and implement deployment architecture for BI solutions
• Build automated health checks, monitoring, and alerting mechanisms
• Integrate monitoring with enterprise systems (e.g., NOC) and ensure support readiness

Governance and Quality

• Ensure data and reporting governance across dashboards and BI platforms
• Implement best practices for report design, performance optimization, and security
• Contribute to audit, compliance, and data quality initiatives

Standardization and Optimization

• Drive standardization and consolidation of BI tools and reporting frameworks
• Monitor usage patterns, identify inefficiencies, and optimize cost and performance
• Build reusable visualization frameworks and design standards

Required Qualifications

• 4+ years of experience in BI development and platform management
• Strong expertise in Power BI / Tableau / SAP BO
• Experience with Azure and GCP environments
• Strong experience in dashboard development, data visualization, and storytelling
• Hands-on experience in data modeling (DAX, Power Query, or equivalent)
• Experience working with enterprise data warehouses and large datasets
• Strong SQL skills for data extraction and validation
• Understanding of BI governance, performance optimization, and security
• Ability to work with cross-functional teams and translate business needs into analytics solutions

Preferred Qualifications

• Experience with Power BI tenant administration and capacity management
• Familiarity with CI/CD pipelines for BI deployments
• Exposure to enterprise monitoring and support environments
• Experience in BI migration or transformation projects
• Understanding of modern data architectures (data lake, lakehouse, cloud analytics platforms)

Are you passionate about creating impactful tech products for Bharat? Join us on an exciting journey to build a multi-million-dollar revenue products from scratch for Bharat.

Open Position: 3 Product Manager / Product Owners. Basically people who can take whole product (consumer app, B2C, i hope you research enough to figure the apps out) from me and scale it end to end.

What we’re looking for:

 • Strong first-principles thinking and user empathy

 • Eagerness to learn quickly

 • Strong in communication

 • AI-first mindset - non negotiable after this december update :)

 • Experience matters less than your enthusiasm to learn and contribute

Why join us?

 •⁠ ⁠Work on solving real problems for Bharat users on scale (5M+ app downloads and growing fast)

 •⁠ ⁠Competitive salary. No bar for the right talent!

 •⁠ ⁠Be part of an ambitious, visionary team

 •⁠ ⁠High ownership, high impact from Day 1

Why NOT to join us? - more important than why join us

 •⁠ ⁠You are someone who need established systems rather than building them, lets meet after 2 years(maybe!)

 •⁠ You think idea to feature cycle should be more than 1 day

 •⁠ You think you know everything.

 •⁠ Looking for work life balance - not the place. You deserve better place.

 •⁠ Ambiguity paralyses you.

Location: Bangalore (Onsite)

Contract: 6 months, with potential extension based on project needs and performance

Location: Bengaluru or Chennai, India

Work Mode: Hybrid from Infosys office from day one

Role Summary:

We are seeking a Senior Dynamics 365 CRM Developer / Technical Lead to design, build, integrate, and support Microsoft Dynamics 365 Customer Engagement solutions. The role includes hands-on development, technical leadership, support issue resolution, and mentoring junior developers in an Agile delivery environment.

Click to apply: https://forms.gle/iDRf1PaDyReoxisCA

Key Responsibilities:

- Develop and customize Microsoft Dynamics 365 CE Online solutions across Sales, Service, and Marketing modules.

- Build and maintain plugins, workflows, business process flows, Power Automate flows, and Dataverse customizations.

- Develop integrations using Azure Functions, Web API, REST APIs, JavaScript, C#/.NET, and SQL.

- Configure Dataverse security roles, data models, forms, views, business rules, and solution components.

- Use Azure DevOps for work tracking, source control, build/release processes, and delivery coordination.

- Troubleshoot CRM support issues, coordinate timely closure, and identify recurring problems for long-term fixes or cost optimization.

- Review code, guide junior developers, and ensure solutions follow agreed architecture, quality, and security standards.

- Participate in Agile/Scrum ceremonies, estimation, sprint planning, and delivery reporting.

Required Skills and Experience:

- 6+ years of hands-on experience, or equivalent practical expertise, in Microsoft Dynamics CRM / Dynamics 365 CE development.

- Strong experience with Dynamics 365 CE Online, Dataverse, plugins, workflows, Power Automate, C#/.NET, SQL, Web API, REST APIs, and Azure Functions.

- Experience with JavaScript-based CRM customizations and CRUD operations through Web API calls.

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

Experience

9–18 Years

Education

IIT / NIT graduates only

Interview Process

Candidates must be available for a Face-to-Face interview in Bangalore or Mumbai.

Key Responsibilities

• Design and develop scalable, high-performance Java applications.
• Lead a team of engineers and drive technical excellence.
• Architect enterprise-grade solutions and provide technical guidance.
• Collaborate with cross-functional teams to define, design, and deliver high-quality software.
• Review code, mentor team members, and ensure engineering best practices.
• Drive system design discussions and resolve complex technical challenges.

Required Skills

• Strong expertise in Core Java and Java ecosystem.
• Excellent problem-solving and analytical skills.
• Very strong coding ability with clean coding practices.
• Strong understanding of System Design and distributed systems.
• Hands-on experience in Java Architecture and designing scalable applications.
• Experience leading engineering teams and mentoring developers.
• Good understanding of software design principles, design patterns, and performance optimization.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience with Spring Boot, Microservices, REST APIs, and cloud technologies.
• Exposure to CI/CD, containerization, and modern DevOps practices is an advantage.

Job Responsibilities

The Software Engineer EIS Developer develops EIS and Java code for intermediate modules, participates in design reviews, conducts code reviews, creates test plans and resolves moderate defects.  The Developer designs, documents, reviews, and maintains components of software solutions for intermediate projects.  It also includes reacting to production problems or supporting production changes where those applications are operating.

• Strong understanding of EIS (V12 or V20) and Core Java concepts
• 5-7 year of experience
• Knowledge of the Insurance business is a plus
• Highly motivated with good written and oral communication skills.
• Ability to lead conversations and coordinate activities across various time zones.
• Flexibility to adapt to changing priorities and assignments, ability to work well under pressure, as well as ability to work independently.
• Ability to be accountable for key processes of high complexity, high risk, and high visibility.
• Ability to learn new skills quickly and willingness to challenge yourself
• Advanced SQL skills (individuals need to have solid SQL debugging and tuning skills)
• Advanced Oracle Knowledge
• Intermediate UNIX

Primary Skills

• EIS V12 or V20
• Product Factory (V12)
• Kraken Rules (V20)
• Java & React
• OOPS
• Java SpringBoot
• SOAP/REST/JSON
• TDD(Unit/Integration/Acceptance)
• Code Refactoring
• GIT 
• Coding standards
• Build Process
• Security (Web security/API Security)
• HTML/CSS
• Cloud Infrastructure
• Jenkins/Gradle
• Strong communication skills
• Strong analytical ability

Experience

• Overall experience of 5 -7 years of software development
• At least 3 years of experience as a Java and React development
• At least 1 year as a full stack developer with Cloud/PCF experience
• Wide experience with a diverse set of technologies, approaches, tools, etc. would be ideal.
• Good knowledge of Java programming, SQL, Unix
• Exposure and knowledge to Agile methodologies
• Experience in Java development and web front-end development.
• Experience deploying to cloud environments a plus
• Exposure to test-driven development
• Strong communication skills
• Passion for growing your skills, tackling interesting work and solving challenging problems
• Enthusiasm for community, learning, and collaboration
• Excitement about open source software

Shift Timing

·        13:00 - 21:30 PM for overlap with onsite business partner

Experience: 2+ Years

Mandatory Skills: Data Analysis, Data Mining, Data Validation, Python, SQL, Power BI, Advanced Excel

Data Analyst

We are looking for 1 Developer/Analyst to support data analysis, data mapping, and report automation initiatives. This is an entry-level role with structured training, ideal for candidates who are detail-oriented, proactive, and capable of working independently in a fast-paced environment.

Key Responsibilities

• Perform data analysis and data validation across various datasets.
• Execute data mapping activities between source and target systems.
• Support report automation and templating tasks (training will be provided).
• Participate in User Acceptance Testing (UAT) to validate report outputs and workflows.
• Manage multiple report automation tasks simultaneously with strong attention to timelines.
• Proactively provide status updates, identify risks, and escalate blockers in a timely manner.
• Ensure high-quality delivery without requiring follow-ups or supervision.
• Collaborate closely with the client team (onshore/offshore alignment as applicable).

Key Skills & Qualifications

• Bachelor’s degree in Engineering, Computer Science, IT, or a related field.
• Strong analytical and problem-solving skills.
• Basic understanding of data handling, Excel, and reporting concepts.
• Ability to manage multiple tasks and meet committed deadlines.
• Strong communication skills (verbal and written).
• High level of ownership, accountability, and self-driven execution.

Preferred Skills (Good to Have)

• Exposure to Seismic and/or SmartDX platforms.
• Familiarity with reporting tools, data transformation, or automation concepts.
• Prior internship/project experience in data analysis or reporting.

Job Description: 

Job Title: QA/Test Management Engineer

Location: Bangalore & Mumbai

Experience Level: 2-8 Years

Notice period: Immediate to serving notice period up to 45 days

You will:

. Part of a Global test management team working in the Regulatory reporting domain.

. Collaborate with a wide range of colleagues all over the technology and business domain.

Have a good knowledge about testing concepts- including but not limited to understanding

business requirement, defining test scope, ability to collaborate with business/automation

stakeholders and executing tests, bug/defect tracking and closure.

. Demonstrate a high level of subject matter expertise to bridge functional requirements and technical solution.

. Strong working knowledge of various test types including white-box, black-box,

positive/negative, edge cases, etc.

. Solid test design skills, test case writing, automation, and analysis.

. Strong working knowledge of various test phases including functional, integration and

Regression.

. Strong working experience in running the test suite, investigating the failures and can fix or get it fixed, raise bugs, etc.

. Work closely with Dev and Business Analyst team to understand the functional requirements.

. Actively participate in squad ceremonies Sprint Refinements, Planning, Retrospective and

daily standups.

. Ability to learn new things and exhibit innovative testing approach.

. Strong ability and problem-solving Skills.

You must have:

. Ability to test applications thoroughly before deployment to ensure that they are free of

errors.

. 2-8 years 'experience in test automation or feature development (programming experience)

. Should be able to work with geographically dispersed Dev & QA team in a very dynamic,

rapidly evolving, and high pressure, high visibility project setting.

. Experience of working in a fast-paced Agile framework.

. Ability to challenge status quo and think of out-of-the box solutions to existing problems.

. Excellent problem-solving skills.

. Knowledge of trade lifecycle. product types/asset class types.

. Willingness to guide fellow team members in learning new technologies.

You might also have:

. Understanding of DevOps for complex systems

. Knowledge of Transaction Reporting, OTC Derivatives, Post Trade processing activities.

. Experience with continuous deployment tools and practices

. Experience with automation tools such as Python/PowerBI

About the Role

We are looking for a Senior Software Engineer (Node.js) to join our engineering team in Bengaluru. The ideal candidate will have strong experience building scalable backend applications, designing APIs, and working with modern software development practices.

Responsibilities

• Develop and maintain server-side applications using Node.js.
• Design and implement RESTful APIs.
• Integrate front-end components with backend services.
• Write clean, scalable, and maintainable code.
• Troubleshoot and resolve application issues.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in code reviews and follow software development best practices.

Requirements

• 3-6 years of experience in software development.
• Strong proficiency in JavaScript and Node.js.
• Experience with RESTful API development.
• Knowledge of SQL and/or NoSQL databases.
• Experience with Git and collaborative development workflows.
• Good problem-solving and communication skills.
• Bachelor's degree in Computer Science or related field.

Good to Have

• Docker
• Kubernetes
• Cloud Platforms
• Microservices Architecture
• Express.js
• MongoDB
• Docker
• Kubernetes
• Backend Development

Most product manager roles optimise screens.

This one optimises what happens on the ground.

We’re hiring a Product Manager to own a core product area end to end — from strategy and roadmap to execution and outcomes.

You’ll build software that improves real-world execution quality: whether a booked job gets fulfilled, starts and ends on time, meets standards, and happens at the right cost.

If you like building at the intersection of product, ops, and field reality — this is that role.

→ Own the vision, strategy, and roadmap for a core product area

→ Tie product decisions to business metrics like fulfilment, timeliness, variance, rework, and cost

→ Work closely with Supply, Demand, and City Ops to turn messy ground problems into scalable systems

→ Lead a pod of engineers and designers, make trade-offs, and ship continuously

→ Build dashboards, escalation systems, exception management, and software-driven SOPs

→ Spend time in the field with farmers, supervisors, and mukadams to make better product decisions

• 2–7 years in product with ownership of a meaningful product area

• Strong track record of taking products from problem to launch to measurable impact

• Systems thinker who can balance supply, demand, operations, and economics

• Comfortable with data, dashboards, and SQL/Sheets

• Strong stakeholder management across cross-functional teams

• High respect for on-ground reality in field-heavy environments

Bonus if you bring experience in rural India, agriculture, informal labour markets, new city launches, or 0→1 builds.

📍 Bangalore (on-site; regular field travel expected) | Reporting to CPO

Know someone who’d thrive in a role where product decisions show up in the real world, not just on a dashboard?

Tag them below or DM if this sounds like you.

#Hiring #ProductManager #ProductJobs #BangaloreJobs #OperationsTech #BuildInIndia

If you want to learn product by building in the real world—not just from slides and dashboards—this is that role.

We’re hiring an Associate Product Manager to turn messy ground reality into product that actually gets used.

→ Own features and product areas end to end, from problem definition to launch to iteration

→ Spend time with users in the field and turn observations into clear product requirements

→ Work day-to-day with engineering and design to ship

→ Use data across fulfilment, on-time start/completion, rework, and complaints to figure out what to build next

→ Run launches, coordinate rollouts, train teams when needed, and track adoption

→ Ship, measure, learn, iterate

• 0–2 years of experience in product, consulting, ops, analytics, engineering—or a strong builder mindset

• Sharp structured thinking and real curiosity about why people behave the way they do

• Comfortable with data and spreadsheets

• Strong written and verbal communication

• High agency—you chase answers and don’t wait to be told what to do

• Comfortable with ambiguity and fast-moving environments

Bonus if you:

• Speak Marathi/Hindi

• Have exposure to rural India, agriculture, blue-collar operations, or informal labour markets

• Have built or shipped something real

Why this role?

A real, hard, physical-world product problem. Close mentorship from senior product leadership. The kind of ownership most people wait years to get.

📍 Bangalore (on-site; expect periodic field travel) | Reporting to CPO

Know someone who should be in this seat? Tag them below or DM directly.

#Hiring #AssociateProductManager #ProductManagement #BangaloreJobs #APM #ProductJobs

Location: Bangalore (Hybrid/Onsite)

Experience: 5–8 Years

Work location -Manyata Tech park

Job Description

We are seeking a skilled GCP Data Engineer with 5–8 years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in Google Cloud Platform (GCP), Python, PySpark, SQL, and Data Engineering concepts.

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT data pipelines.
• Develop and maintain data processing solutions using Python and PySpark.
• Work with large-scale structured and unstructured datasets.
• Implement data ingestion, transformation, and data quality frameworks.
• Build and manage data solutions on Google Cloud Platform (GCP).
• Develop and optimize complex SQL queries, stored procedures, and data models.
• Collaborate with business stakeholders, data analysts, and cross-functional teams to understand data requirements.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Ensure data governance, security, and compliance standards are followed.
• Support data warehousing and analytics initiatives.

Required Skills

• 5–8 years of experience in Data Engineering.
• Strong programming experience in Python.
• Hands-on experience with PySpark and distributed data processing.
• Strong expertise in SQL and database performance tuning.
• Experience with Google Cloud Platform (GCP) services such as:
• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Cloud Composer
• Pub/Sub
• Experience in designing ETL/ELT workflows.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with version control tools such as Git.
• Strong problem-solving and analytical skills.

Preferred Skills

• Experience with CI/CD pipelines and DevOps practices.
• Exposure to orchestration tools like Airflow/Cloud Composer.
• Experience working in Agile/Scrum environments.
• Knowledge of streaming data processing and real-time data pipelines.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

The MicroStrategy Developer has overall responsibility for the BI application and platform, project creation and architecture, administration, object and schema creation, security, performance improvements, troubleshooting and resolving technical issues. To succeed in this role, you’ll need proven experience in MicroStrategy development and administration, as well as a strong understanding of enterprise reporting, data warehousing, data modelling and SQL. 

Location:  Mumbai/Bengaluru/Hyderabad/ Gurgaon (Hybrid - 3 Day WFO) 

Responsibilities: 

• Design, develop, test, and deploy MicroStrategy Dashboards, Dossiers, Reports and Documents and supporting objects. 
• Collaborate with business analysts and stakeholders to translate business needs into technical specifications. 
• Liaise with the IT infrastructure team to manage MicroStrategy environments, including upgrade strategies and security considerations. 
• Be able to work on feature enhancement pertaining to retail KPIs in existing reports. 
• Interact and assist with ad-hoc reporting and access requests from business users. 
• Experienced in communicating and applying Best Practices on the use of MicroStrategy. 
• Works effectively with members of management. 
• Maintains knowledge of the latest trends in BI, business analytics, and other technologies 

Requirements

• Overall 6+ years experience with BI technologies, with 4+ years of experience in MicroStrategy development.
• Experience with Administration tools like MicroStrategy Object Manager, MicroStrategy Command Manager, MicroStrategy Enterprise Manager in Version 11.3.  
• Ability to create MicroStrategy schemas and application objects such as attributes, metrics, prompts, filters, templates.  
• Knowledge of meta data creation (framework models/universe), creating report specifications, integration planning, unit testing planning and testing, UAT and implementation support.  
• Knowledge of advanced filters, conditional formatting, transformation and level metrics and customer groups.  
• Ability to define relationships between attributes, facts and other objects within MicroStrategy.  
• Ability to define Hierarchies and drill functionality within MicroStrategy.  
• Strong experience in writing SQL and good working knowledge of SQL Server databases.  
• Ability to design and develop interactive dashboards and visualization in MicroStrategy, leveraging advanced features such as drilling, filtering and dynamic content to enable intuitive data exploration and analysis.  
• Optimize MicroStrategy performance by fine tuning queries, optimizing data storage and implementing best practices for data modelling and schema design.  
• Provide training and support to end users and business analysts on MicroStrategy functionality, data modelling concepts and best practices for data visualization and analysis.  

Position: Team Lead – Data Engineering

Client: NucleusTeq

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

·     Design and architect scalable, high-performance data solutions.

·     Lead and mentor a team of data engineers.

·     Build and optimize large-scale data pipelines.

·     Drive architectural decisions and technical strategy.

·     Ensure data quality, governance, and security best practices.

·     Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

·     Strong hands-on experience in Java & Python.

·     Strong expertise in SQL and Big Data technologies.

·     Hands-on experience with Google Cloud Platform (GCP).

·     Experience with Apache Airflow for workflow orchestration.

·     Strong understanding of distributed systems and data architecture.

·     Experience in CI/CD pipelines (mandatory).

·     Experience in data warehousing and ETL processes.

·     Excellent leadership and stakeholder management skills.

Good to Have:

·     Experience with Dataflow (Apache Beam).

·     Experience designing enterprise-level data platforms.

·     Exposure to DevOps best practices.

Job Title : Analytics Engineer

Experience : 6+ Years

Location : Gurgaon | Bangalore | Ahmedabad | Chennai

Work Mode : Work From Office

Employment Type : Contract (6 Months)

About the Role :

We are looking for an experienced Analytics Engineer to design, develop, and optimize scalable data models and analytics solutions that drive business decision-making. The ideal candidate should have strong expertise in SQL, dbt, data modeling, data quality, and modern analytics engineering practices.

Mandatory Skills :

SQL, dbt, Data Modeling, Data Warehousing, ETL/ELT, Query Optimization, Data Quality, Git, CI/CD, Analytics Engineering, Data Transformation, Data Governance, Stakeholder Management.

Key Responsibilities :

• Design and maintain scalable data warehouse models, data marts, and analytical datasets.
• Build and optimize data transformation pipelines using SQL and dbt.
• Develop high-performance SQL queries using CTEs, Window Functions, Complex Joins, and Analytical Functions.
• Implement data quality checks, testing frameworks, and governance best practices.
• Manage end-to-end analytics development lifecycle, from requirement gathering to deployment.
• Work with Git, CI/CD pipelines, and version control best practices.
• Collaborate with business and technical stakeholders to deliver reliable analytics solutions.
• Troubleshoot and optimize data pipelines, models, and query performance.

Required Skills :

• 6+ years of experience in Analytics Engineering, Data Engineering, or related roles.
• Strong expertise in SQL and query performance optimization.
• Hands-on experience with dbt (Data Build Tool).
• Strong understanding of data modeling and data warehousing concepts.
• Experience with Git, CI/CD, and software development best practices.
• Knowledge of data quality frameworks, testing, and validation techniques.
• Ability to independently manage design, development, testing, documentation, and deployment.

Preferred Skills :

• Experience with cloud-based data platforms.
• Exposure to orchestration and scheduling tools.
• Understanding of data governance and compliance frameworks.
• Experience in performance tuning and cost optimization.
• Prior mentoring or technical leadership experience.

What We're Looking For :

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Passion for building scalable, reliable, and high-quality analytics solutions.

Job Title: Senior Product Software Engineer I

Location: Bangalore, India

.

Software Engineer (Backend / Distributed Systems)

This role is for a hands-on Backend Software Engineer with 5+ years of experience building and maintaining large-scale distributed systems. The candidate will be responsible for developing scalable backend services, optimizing system performance, improving reliability, and contributing to architecture decisions.

Key Responsibilities

• Design, develop, and maintain backend services and APIs.
• Build scalable and reliable distributed systems.
• Collaborate with global engineering teams (US & India).
• Participate in system design, code reviews, testing, and CI/CD processes.
• Monitor production systems and provide support through on-call rotations.
• Improve system performance, fault tolerance, observability, and resiliency.
• Contribute to architectural discussions and technical decision-making.

Mandatory Skills

• 5+ years of software development experience.
• Strong coding skills in Java or Python.
• Experience with Distributed Systems and Microservices Architecture.
• Hands-on experience with REST APIs and API-driven applications.
• Strong knowledge of MySQL or PostgreSQL.
• Experience with CI/CD, testing, and code quality practices.

Preferred Skills

• Spring Boot (for Java developers).
• Kafka, Kinesis, or other event-driven/streaming technologies.
• Docker and Kubernetes.
• Terraform or Infrastructure as Code tools.
• Cloud platform experience (AWS/GCP/Azure).
• High-throughput and low-latency system experienc

Hiring: GCP Data Engineer (FTE)

📍 Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata

💼 Employment Type: Full-Time

Notice Period - Immediate Joiner ( Serving Notice Period )

Work Mode - Hybrid

We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions.

Required Skills:

✔ GCP Data Engineering Experience

✔ BigQuery

✔ SQL & Python

✔ PySpark / Apache Spark

✔ Apache Beam / Dataflow

✔ ETL / ELT Pipeline Development

✔ Airflow / Cloud Composer

Responsibilities:

• Design and develop scalable ETL/ELT pipelines on GCP
• Build and optimize BigQuery solutions
• Process large-scale structured/unstructured data using Spark
• Develop automated workflows and cloud-native data pipelines
• Work with GCP services like Dataflow, Dataproc, Cloud Storage, etc.
• 
  

Good to Have:

• Google Cloud Certifications (Professional Data Engineer / Solution Architect)
• Experience with BigTable, Cloud SQL, Spanner, NoSQL databases

🎓 Qualification: Bachelor’s / Master’s in CS, Engineering, or related field

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Skills required:

• Strong expertise in .NET Core / ASP.NET MVC
• Candidate must have 2+ years of experience in Dot Net.
• Candidate must have experience with Angular.
• Hands-on experience with Entity Framework & LINQ
• Experience with SQL Server (performance tuning, stored procedures, indexing)
• Understanding of multi-tenancy architecture
• Experience with Microservices / API development (REST, GraphQL)
• Hands-on experience in Azure Services (App Services, Azure SQL, Blob Storage, Key Vault, Functions, etc.)
• Experience in CI/CD pipelines with Azure DevOps
• Knowledge of security best practices in cloud-based applications
• Familiarity with Agile/Scrum methodologies
• Flexible to use copilot or any other AI tool to write automated test cases and faster code writing

Roles and Responsibilities:

- Good communication Skills is must.

- Develop features across multiple subsystems within our applications, including collaboration in requirements definition, prototyping, design, coding, testing, and deployment.

- Understand how our applications operate, are structured, and how customers use them

- Provide engineering support (when necessary) to our technical operations staff when they are building, deploying, configuring, and supporting systems for customers.

Job Title: Senior Tableau Developer

Location: Marathahalli, Bangalore (Onsite)

Job Type: Full-time

Key Responsibilities:

·       Develop dashboards and reports using Power BI.

·       Work with Azure Synapse, Data Factory, and Azure SQL for data integration.

·       Build and optimize data models and DAX queries.

·       Collaborate with stakeholders to gather and analyze reporting needs

·       Ensure performance, security, and scalability of visual solutions

·       Strong experience in Tableau

Required Skills:

·       Power BI, DAX, Azure Synapse, ADF, SQL, Data Modeling, Data Storytelling

·       Tableau (Dashboard Development, Data Visualization, Calculated Fields,

·       LOD Expressions)

·       Microsoft Fabric 

Job Title: Lead Tableau Consultant

Location: Marathahalli, Bangalore (Onsite)

Job Type: Full-time

Key Responsibilities:

·   Develop dashboards and reports using Power BI.

·   Work with Azure Synapse, Data Factory, and Azure SQL for data integration.

·   Build and optimize data models and DAX queries.

·   Collaborate with stakeholders to gather and analyze reporting needs

·   Ensure performance, security, and scalability of visual solutions

·   Strong experience in Tableau

Required Skills:

·   Power BI, DAX, Azure Synapse, ADF, SQL, Data Modeling, Data Storytelling

·   Tableau (Dashboard Development, Data Visualization, Calculated Fields,

·   LOD Expressions)

·   Microsoft Fabric (preferred)

About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/

Experience: 5-8 years

Shift: EST

Location: Bangalore

Mode: Hybrid

Position Requirements

Core (Must-Have) Skills

• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

• Expertise in SQL, including complex queries and performance optimization

• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

• Applied knowledge of statistics and probability for model development

• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

• Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Data pipeline orchestration (Airflow, Prefect)

• Business domain knowledge (e.g., retail, finance)

Key Activities

• Preparing and preprocessing structured and unstructured data for analysis

• Designing, training, and validating machine learning models

• Deploying and operationalizing models in collaboration with engineering teams

• Building dashboards and data-driven visual insights for stakeholders

• Partnering with product and engineering teams to align models with business needs

• Monitoring, optimizing, and retraining models for performance improvements

JD:

• 6–10 years in database administration

• Strong hands-on experience with PostgreSQL

• Experience supporting production-grade systems

• Communicating with team members and clients requires strong active listening skills, clear verbal and nonverbal communication skills.

Technical Skills

• PostgreSQL: o indexing, partitioning, vacuuming o query optimization (EXPLAIN/ANALYZE)

• Experience with: o high-volume transactional systems o time-series / IoT data (preferred)

• Knowledge of: o replication (streaming/logical) o backup tools (pg_dump, WAL, etc.)

• Familiarity with cloud-managed DB services (AWS RDS, Aurora, etc.)  

Job Description: Database Administrator (DBA)

Experience Required: 3–8 Years

Location: Bangalore

About the Role

We are looking for a skilled, process-oriented, and proactive Database Administrator (DBA) with 3–5 years of experience in managing enterprise databases and cloud data platforms. The ideal candidate should have strong hands-on expertise in RDBMS technologies such as DB2 and columnar cloud databases, preferably Snowflake, along with exposure to DevOps tools and containerized environments such as Kubernetes, Jenkins, and Git.

The candidate will be responsible for database administration, performance tuning, automation, deployment support, and ensuring high availability, security, scalability, and adherence to operational processes and standards across enterprise data platforms.

Key Responsibilities

Administer, monitor, and maintain RDBMS environments, primarily DB2.

Manage and support columnar cloud database platforms, preferably Snowflake.

Perform database backup, recovery, replication, and disaster recovery planning.

Optimize SQL queries, indexing strategies, and database performance.

Support database migration, patching, upgrades, and capacity planning activities.

Follow and contribute to standardized operational processes, documentation, change management, and governance practices.

Ensure adherence to SLA, incident management, release management, and compliance procedures.

Support CI/CD and DevOps processes related to database deployments and infrastructure automation.

Collaborate with development and DevOps teams for release management and environment provisioning.

Work with containerized and orchestration platforms such as Kubernetes.

Utilize Jenkins pipelines for deployment automation and operational workflows.

Maintain version control and configuration management using Git.

Monitor database health, troubleshoot incidents, and resolve performance bottlenecks.

Ensure database security, compliance, and best practices are followed.

Create and maintain technical documentation, SOPs, runbooks, and operational procedures.

Required Skills & Qualifications

Technical Skills

3–5 years of hands-on experience as a DBA or Database Engineer.

Strong experience with RDBMS technologies, specifically:

IBM DB2

Hands-on experience with columnar cloud databases: Preferably Snowflake

Strong knowledge of SQL scripting and query tuning.

Knowledge of DevOps and CI/CD practices.

Experience with: 

Kubernetes

Jenkins

Git/GitHub/GitLab

Understanding of Linux/Unix administration.

Familiarity with cloud platforms such as AWS, Azure, or GCP is an advantage.

Knowledge of shell scripting or Python for automation is preferred.

Behavioral & Process Skills

Strong process orientation with focus on operational excellence and governance.

Experience working within defined IT processes, change management, and documentation standards.

Strong analytical and troubleshooting skills.

Good communication and collaboration abilities.

Ability to work in a fast-paced and dynamic environment.

• Ownership mindset with attention to detail.

Job Title: L1, L2 Javascript Support Roles

Location: Bangalore. Mode: Work from Office.

Experience: Min 1+ years.

Company Description

TopGrep Tech, an ISO 27001:2022 and DPIIT-certified IT pure tech product & services company. We work with global enterprises & startups, covering SaaS, MVPs, AI, RAG, MCP, reliability engineering, DevOps, and cloud innovation.

Role Description

We are looking for engineers to join our Customer Engineering team, focused on a low-code platform. This role is tailored for engineers who love debugging, diving deep into JavaScript code, query optimization, customer-facing problem-solving and automating the regular tasks.

Key Responsibilities  

Debugging & Development  

• Investigate and resolve customer-reported issues in a JavaScript + JSON low-code environment. Identifying, fixing bugs, and implementing enhancements to improve product performance, reliability, and usability.
• Understand and trace workflow execution paths, analyze payloads, and isolate breaking logic.
• Be flexible to support customers worldwide.
• Creating and maintaining documentation related to program development, logic, coding, testing, and changes.
• Implementing limited design changes or enhancements to improve performance, address obsolescence, or meet new requirements.
• Creating and maintaining documentation related to program development, logic, coding, testing, and changes.  Identifying opportunities to improve existing processes and procedures related to product sustenance.

Cross-Team Collaboration  

• Partner with customer success, and solution/engineering teams to triage and close issues faster.
• Provide feedback from field operations to improve product robustness.
• Participate in postmortems and continuous improvement cycles.

Ability to drive outcomes and meet delivery milestones while coordinating across multiple teams and managing interdependencies.

Required Skills:  

• 3+  years in Solution Development or Engineering roles.
• Strong grasp of JavaScript, JSON handling, and API interactions.
• Knowledge of SQL and ability to debug query bottlenecks.
• Familiarity with observability stacks (Grafana, Loki, Tempo)
• Knowledge of AWS is required (although not a deal breaker)
• 
  

Desirable Skills:  

Exposure to the Field Service Management domain, or working in products that have workflows, debugging algorithms related to scheduling or work done on backend systems is an added advantage.

Why Join Us  

• Unique opportunity to form a front-facing layer that not only is the front-line to customer deployments, but also has the ability to work closely with Solution Architects and others to influence Product blueprints.
• Work across the full tech stack — from debugging backend services(Java, spring boot) to exploring front-end interfaces built with React and extending into mobile UI development.
• Build internal tools, fix production issues, and contribute to engineering stability, all while learning from experienced platform, product and solution engineers.
• Be part of a high-impact team that bridges engineering and customer experience, where your work helps improve both product quality and customer trust.

GCP Data Engineer

Experience: 8 – 15 yrs

Grade: C2/D1

Skill: GCP + Python/Pyspark

NP: Immediate joiners

• 8+ years of hands-on experience in Python.
• 8+ years of hands-on experience in Data Engineering.
• 5+ Years of hands-on experience in GCP Big Query.
• Experience in building scalable data pipelines and automation frameworks.
• Experience migrating data and pipelines from SQL Server to GCP Big Query.
• Familiarity with CI/CD tools and Agile methodologies.
• Good understanding on Data Governance, Data Quality, Metadata, Lineage
• Expertise in Data Model design in Big query.
• Expertise in writing optimal Big query SQL and Stored Proc.
• Expertise in GCS Cloud Storage, Pub Sub, Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.
• Expertise in Vertex AI and Feature Store.
• Expertise in Spark and Apache Beam is desirable.

Email resumes to: naveenkb @ 10xscale.ai

Experience: 5 to 8 years 

Job Summary: 

• We are looking for an experienced Databricks Developer with a strong background in Spark/pyspark to design, develop, and optimize data processing applications. The ideal candidate will build scalable data engineering solutions and ensure seamless data flow across platforms. 
• Key Responsibilities: 
• Design, develop, and maintain scalable data processing applications using Python, PySpark and Spark. 
• Collaborate with data engineers, data scientists, and other stakeholders to understand business requirements and deliver high-quality solutions. 
• Ensure data integrity, performance, and reliability across all data processing pipelines. 
• Write clean, maintainable, and efficient code following best practices and coding standards. 
• Perform data analysis and implement data validation to ensure quality. 
• Monitor and troubleshoot performance issues in data workflows and pipelines. 
• Implement and manage CI/CD pipelines for automated testing, integration, and deployment. 

• Required Skills & Qualifications: 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 
• Proven experience as a Databricks Developer, with strong expertise in Spark/Pyspark. 
• Proficiency in SQL and hands-on experience with relational databases. 
• Strong programming experience in Python and PySpark. 
• Familiarity with version control systems such as Git. 
• Strong analytical and problem-solving abilities. 
• Excellent communication and collaboration skills. 

Job Role: Java Full Stack Developer

Experience: 5-10 Years

Location: Mumbai (Onsite)

Job Overview:

We are looking for a skilled Java Full Stack Developer with 5-10 years of experience to join our team in Mumbai. The ideal candidate will have strong hands-on experience in backend development using Java, Spring Boot, and Microservices architecture, along with frontend development using React. You will be responsible for designing, developing, and maintaining scalable applications.

Key Responsibilities:

·      Design, develop, and maintain scalable full stack applications

·      Build robust backend services using Java, Spring Boot, and Microservices architecture

·      Develop responsive and user-friendly front-end applications using React

·      Collaborate with cross-functional teams including product, QA, and DevOps

·      Integrate APIs and work with databases to ensure seamless data flow

·      Participate in code reviews, debugging, and performance optimization

·      Ensure code quality, security, and best development practices

·      Contribute to architecture discussions and technical decision-making

Required Skills:

·      5–10 years of hands-on experience in software development

·      Strong proficiency in Java, Spring Boot, and Microservices

·      Solid experience with React.js for frontend development

·      Experience working with any relational or NoSQL databases

·      Good understanding of RESTful APIs and system design principles

·      Strong problem-solving and analytical skills

Preferred Skills (Good to Have):

·      Experience working on e-commerce platforms or products

·      Exposure to cloud platforms (AWS, Azure, or GCP)

·      Familiarity with CI/CD pipelines and DevOps practices

·      Knowledge of containerization tools like Docker/Kubernetes

Education:

·      Bachelor’s/Master’s degree in Computer Science or a related field

About the Company:

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore.

We specialize in designing and developing bespoke software solutions that cater to solving niche business problems.

We engage with our clients at various stages:

·      Right from the idea stage to scope out business requirements.

·      Design C architect the right solution and define tangible milestones.

·      Setup dedicated and on-demand tech teams for agile delivery.

·      Take accountability for successful deployments to ensure efficient go-to-market Implementations.

Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business.

Strong Pharma Analytics Profile

Mandatory (Experience) : Must have 4+ years of experience as an analytics consultant with atleast 2 years in pharma domain

Mandatory (Skill 1) : Must have hands-on experience working with patient-level datasets (claims, EHR, lab, pharmacy data)

Mandatory (Skill 2) : Must have worked on patient journey analysis, treatment patterns, disease progression and advanced analytics

Mandatory (Skill 3) : Must have experience with SQL, Python and Predictive modelling (regression, classification, clustering)

Mandatory (Skill 4) : Must have experience combining multiple healthcare datasets and building longitudinal patient views

Mandatory (Skill 5) : Ability to translate complex analysis into actionable business/clinical insights

Mandatory (Skill 6): Must have experience with time-series analysis and/or survival analysis - specifically to study treatment duration, patient drop-off, or retention trends

Mandatory (Skill 7): Must have experience building risk stratification models using ML techniques to prioritize patients based on clinical or behavioural risk factors

Mandatory (Company) : PharmaTech/life sciences companies

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

As an Analyst at Tap Invest, you’ll turn data into decisions. You’ll work with teams across

Product, Ops, Marketing, and Sales to uncover insights, solve real business problems, and

drive strategy.

This role is for someone who is comfortable working with data independently and can

support business teams with reliable analysis and reporting.

Key Responsibilities

● Gather, organize, and clean data from various sources including databases,

spreadsheets, and external sources to ensure accuracy and completeness.

● Write SQL queries to pull, validate, and clean data from production databases.

● Build and maintain dashboards, and generate KPI reports. Track performance

against targets and identify areas for optimization.

● Analyze user funnels and investment patterns to surface actionable insights.

● Prepare and present clear, concise reports and visualizations to communicate

findings and recommendations to stakeholders across teams.

● Document data definitions, metrics, and assumptions clearly for consistency and

reuse.

What We’re Looking For

● 1 to 2 years of experience in Data Analytics, Business Analytics, or a similar role.

● Comfortable writing in SQL and validating queries.

● Solid with Excel / Google Sheets (pivot tables, lookups, charts).

● Genuine curiosity about how businesses use data to make decisions.

● Experience with scripts for data automations.

● Prior projects involving production datasets.

Nice to Have

● Familiarity with pandas or any data manipulation library for advanced automations.

● Interest in capital markets, bonds, fixed income or FinTech.

● Exposure to AI tools

🚨 We’re Hiring | Support Engineer – Trading & Capital Markets 🚨

📍 Location: Bangalore

🕘 Shift: Night Shift

🎯 Domain Priority: Trading / Capital Markets ONLY

We are looking for a Support Engineer with hands-on experience in trading systems and capital markets, who thrives in fast-paced, high-availability environments and is passionate about client-facing technical support.

✅ Must-Have Qualifications

• Bachelor’s degree in Computer Science, IT, or a related field
• 2+ years of experience in Application / Technical Support, preferably in the broking or trading domain
• Strong understanding of Capital Markets – Equity, F&O, Currency, Commodities
• Solid technical troubleshooting skills:
• Linux/Unix
• SQL
• Log analysis
• Familiarity with Trading Systems, RMS, OMS, APIs (REST/FIX), and order lifecycle
• Excellent communication and interpersonal skills for effective client interaction
• Ability to work under pressure during live trading hours and manage multiple priorities
• Customer-centric mindset with strong problem-solving and relationship-building abilities

🔍 Key Responsibilities

• Act as the primary point of contact for clients reporting issues related to trading applications and platforms
• Log, track, and monitor incidents using internal tools and ensure resolution within defined TATs
• Coordinate with Development, QA, Infrastructure, and other internal teams to drive timely resolution
• Provide clear, proactive, and regular updates to clients and internal stakeholders
• Maintain detailed logs of incidents, escalations, resolutions, and fixes for audits and future reference
• Support clients with queries related to system functionality, performance, and usage
• Communicate proactively with clients regarding product enhancements, features, and updates

⚠️ Note: Candidates with experience in the Trading / Capital Markets domain will be given first priority.

📩 Interested candidates can comment “Interested” or share their resume via DM.

Let’s connect and build reliable trading support systems together!

JD - 

We are looking for a strong Data Engineer having hands on experience in building pipelines using Snowflake and DBT.

Key Responsibilities:

• Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB.
• Collaborate with data analysts, QA and business teams to build scalable data models.
• Implement data transformations, testing, and documentation within the DBT framework.
• Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
• Use Python (preferred) for automation, scripting, and additional data processing as needed.

Required Skills:

• 6+ years of experience in building data engineering pipelines.
• Strong hands-on expertise with DBT and advanced SQL.
• Experience working with modern columnar/MPP data warehouses, preferably Snowflake.
• Knowledge of Python for data manipulation and workflow automation (preferred).
• Good understanding of data modeling concepts, ETL/ELT processes, and best practice.

Job Title: Product Manager 2

Role Overview

We are looking for a driven and analytical Product Manager to own end-to-end product

initiatives across our fintech ecosystem. You will work closely with Engineering, Growth, Risk,

and Operations teams to build scalable, customer-centric solutions that drive measurable

business impact.

Key Responsibilities

• Own the product lifecycle from problem discovery → PRD → launch → iteration
• Write clear and structured PRDs, user stories, and acceptance criteria
• Collaborate cross-functionally with Engineering, Design, Growth, Risk, and Business
• teams
• Define product roadmaps and prioritize based on impact and feasibility
• Analyze product performance, funnels, and user behavior using data
• Drive experimentation, A/B testing, and continuous optimization
• Translate business goals into scalable product solutions

Required Skills & Qualifications

• 3–7 years of Product Management experience (preferably in fintech/startup environments)
• Strong analytical skills with hands-on experience in SQL and Excel/Google Sheets
• Experience working in Agile environments with engineering teams
• Ability to think structurally and solve complex product problems
• Strong stakeholder management and communication skills
• Working understanding of APIs, integrations, and system workflows
• Comfort using AI tools to enhance productivity, documentation, research, and product discovery
• Basic understanding of prompt structuring to improve research, analysis, and workflow efficiency

Job Description:

We are looking for a skilled Database Developer with strong hands-on experience in SQL + Informatica and programming knowledge in Java or Python. The ideal candidate will design, develop, and maintain robust ETL pipelines and database solutions while collaborating with cross-functional teams to support business data needs and analytics initiatives. 

Key Responsibilities: 

• Design, develop, and optimize SQL queries, stored procedures, triggers, and views for high performance and scalability. 
• Develop and maintain ETL workflows using Informatica PowerCenter (or Informatica Cloud). 
• Integrate and automate data flows between systems using Java or Python for custom scripts and applications. 
• Perform data analysis, validation, and troubleshooting to ensure data accuracy and consistency across systems. 
• Work closely with business analysts, data engineers, and application teams to understand data requirements and translate them into efficient database solutions. 
• Implement performance tuning, query optimization, and indexing strategies for large datasets. 
• Maintain data security, compliance, and documentation of ETL and database processes. 

Required Skills & Experience: 

• Bachelor’s degree in Computer Science, Information Technology, or related field. 
• 5–8 years of hands-on experience as a SQL Developer or ETL Developer. 
• Strong proficiency in SQL (Oracle, SQL Server, or PostgreSQL). 
• Hands-on experience with Informatica PowerCenter / Informatica Cloud. 
• Programming experience in Java or Python (for automation, data integration, or API handling). 
• Good understanding of data warehousing concepts, ETL best practices, and performance tuning. 
• Experience working with version control systems (e.g., Git) and Agile/Scrum methodologies. 

Good to Have: 

• Exposure to cloud data platforms (AWS, Azure, or GCP). 
• Familiarity with Unix/Linux scripting. 
• Experience in data modeling and data governance frameworks.

Position: Microsoft .NET Full Stack Developer

Experience: 4–6 Years

Open Positions: 10

Location: PAN India (Final Round – Face-to-Face Interview)

Budget: Up to 15 LPA

Notice Period: Immediate joiners preferred

Key Responsibilities:

· Work on highly distributed and scalable system architecture

· Design, develop, test, and maintain high-quality software solutions

· Ensure performance, security, and maintainability of applications

· Collaborate with cross-functional teams and stakeholders

· Perform system testing and resolve technical issues

Required Skills:

· Strong experience in ASP.NET, C#, .NET Core, MVC

· Hands-on experience with SQL Server / PostgreSQL

· Experience in Angular / React (Frontend technologies)

· Knowledge of microservices architecture & RESTful APIs

· Familiarity with CQRS pattern

· Exposure to AWS / Docker / Kubernetes

· Experience with CI/CD pipelines (Azure DevOps, Jenkins)

· Knowledge of Node.js is an added advantage

· Understanding of Agile methodology

· Good exposure to cybersecurity and compliance

Technology Stack:

· Microsoft .NET technologies (primary)

· Cloud platforms: AWS (SaaS/PaaS/IaaS)

· Databases: MSSQL, MongoDB, PostgreSQL

· Caching: Redis, Memcached

· Messaging queues: RabbitMQ, Kafka, SQS

We are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.

In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).

You will collaborate closely with AI use case teams to develop:

• Scalable data pipelines
• Reusable data products
• Foundational data infrastructure

Your work will support advanced AI solutions such as:

• GenAI
• RAG (Retrieval-Augmented Generation)
• Document Intelligence

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines for AI workloads
• Build and optimize data pipelines for structured & unstructured data
• Enable context processing & vector store integrations
• Support streaming data workflows and batch processing
• Ensure adherence to enterprise data models, governance, and security standards
• Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
• Contribute to data lifecycle management for AI platforms

Required Skills

• 5–7 years of hands-on experience in Data Engineering
• Strong expertise in Python and advanced SQL
• Experience with GCP and/or Azure cloud-native data services
• Hands-on experience with PySpark / Spark SQL
• Experience building data pipelines for ML/AI workloads
• Understanding of CI/CD, Git, and Agile methodologies
• Knowledge of data quality, governance, and security practices
• Strong collaboration and stakeholder management skills

Nice-to-Have Skills

• Experience with Vector Databases / Vector Stores (for RAG pipelines)
• Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
• Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
• Experience with DBT (Data Build Tool)
• Knowledge of Infrastructure-as-Code (Terraform)
• Experience in multi-cloud deployments (Azure + GCP)
• Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations

Ideal Candidate Profile

• Strong data engineering foundation with AI/ML exposure
• Experience working in multi-cloud environments
• Ability to build production-grade, scalable data systems
• Comfortable working in cross-functional, fast-paced environments

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most systems work at a low scale.

Very few survive real production load, complex workflows, and enterprise edge cases.

We are building a platform that must:

• Scale from 500K → 20M+ interactions/month
• Handle complex insurance workflows reliably
• Become easier to deploy as it grows, not harder

This role exists to build the backend foundation that makes this possible.

What you’ll do

You will not just write services.

You will design and own core platform systems.

1. Scale the platform without breaking architecture

• Scale from 50K → 2M+ interactions/month
• Ensure:
• High availability
• Low latency
• Fault tolerance
• Avoid large rewrites — build systems that evolve cleanly

2. Build the workflow automation (WA) engine

• Design a flexible system with:
• States
• Stages
• Cohorts
• Dynamic workflows
• Ensure workflows:
• Handle edge cases reliably
• Can be configured easily
• Move from:
• Hardcoded flows → configurable execution engine

3. Build the insurance-specific data layer

• Design data models for:
• Policy states
• Claim workflows
• Consent tracking
• Ensure the system works across:
• Multiple insurers
• Multiple use cases
• Build a platform-first data layer, not use-case-specific hacks

4. Make deployment and setup simple

• Ensure workflows and data models are:
• Easy to configure
• Easy to launch
• Reduce friction for:
• Product teams
• Deployment teams

5. Create a compounding data advantage

• Build a data layer that:
• Improves with every deployment
• Captures structured signals
• Ensure data becomes a long-term edge, not just storage

6. Own production reliability

• Participate in on-call rotation across 3 engineers
• Ensure:
• Incidents are handled quickly
• Root causes are fixed permanently
• Build systems where reliability is shared, not individual

What success looks like

• Platform scales to 2M+ interactions/month smoothly
• Workflow engine supports complex, dynamic use cases
• Data layer enables fast deployment across accounts
• Edge cases are handled without constant firefighting
• System becomes easier to use as it grows
• Production issues are rare and predictable

Who you are

• You have 2-5 years of backend engineering experience
• You have built:
• Scalable systems
• Distributed services
• You think in:
• Systems
• Data models
• Trade-offs
• You are comfortable owning:
• Architecture
• Production systems

What will make you stand out

• Experience building:
• Workflow engines
• State machines
• Data-heavy platforms
• Strong understanding of:
• System design
• Distributed systems
• Failure handling
• Experience working in:
• High-scale production environments

Why join

• You will build the core backend of an AI platform
• Your work directly impacts:
• Scale
• Reliability
• Product capability
• You will design systems that move from:
• Use-case specific → platform-level infrastructure

What this role is not

• Not just API development
• Not limited to feature-level work
• Not disconnected from production realities

What this role is

• A system architect
• A builder of scalable platforms
• A driver of long-term technical advantage

One question to self-evaluate

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?

🚀 Hiring: .NET Develoepr at Deqode

⭐ Experience: 4+ Years

📍 Location: Mumbai and Bangalore

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We are looking for a skilled .NET Developer to design and develop scalable microservices and enterprise-grade applications. The role involves building secure REST APIs, writing clean and testable code, working with Docker-based deployments, and collaborating with cross-functional teams.

Key Responsibilities:

• Develop .NET Core microservices
• Build and secure REST APIs
• Write unit & integration tests
• Deploy applications using Docker
• Ensure performance optimization and code quality

3 Mandatory Skills

1. .NET Core / ASP.NET Core Web API
2. Microservices & Docker
3. REST API development with Unit Testing

Profile - Databricks Developer

Experience- 5+ years

Location- Bangalore (On site)

PF & BGV is Mandatory

Job Description: -

* Design, build, and optimize data pipelines and ETL/ELT workflows using Databricks and

Apache Spark (PySpark).

* Develop scalable, high performance data solutions using Spark distributed processing.

* Lead engineering initiatives focused on automation, performance tuning, and platform

modernization.

* Implement and manage CI/CD pipelines using Git-based workflows and tools such as

GitHub Actions or Jenkins.

* Collaborate with cross-functional teams to translate business needs into technical

solutions.

* Ensure data quality, governance, and security across all processes.

* Troubleshoot and optimize Spark jobs, Databricks clusters, and workflows.

* Participate in code reviews and develop reusable engineering frameworks.

* Should have knowledge of utilizing AI tools to improve productivity and support daily

engineering activities.

* Strong knowledge and hands-on experience in Databricks Genie, including prompt

engineering, workspace usage, and automation.

Required Skills & Experience:

* 5+ years of experience in Data Engineering or related fields.

* Strong hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration).

* Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques).

* Strong proficiency in Python for data processing, automation, and framework

development.

* Strong proficiency in SQL, including complex queries, performance tuning, and analytical

functions.

* Strong knowledge of Databricks Genie and leveraging it for engineering workflows.

* Strong experience with CI/CD and Git-based development workflows.

* Proficiency in data modeling and ETL/ELT pipeline design.

* Experience with automation frameworks and scheduling tools.

* Solid understanding of distributed systems and big data concepts

Want to work on exciting GenAI projects for Fortune 500 companies across multiple sectors? Then read on..

About Company:

CSG is a multi-national company having a presence in 20 countries with 1600+ Engineers. Company works with more than 40 Fortune 500 customers such as Sony, Samsung, ABB, Thyssenkrup, Toyota, Mitsubishi and many more.

Job Description:

We are looking for a talented Generative AI Developer to join our dynamic AI/ML team. This position offers an exciting opportunity to leverage cutting-edge Generative AI (GenAI) technologies to drive innovation to solve real world problems. You will be responsible for developing and optimizing GenAI-based applications, implementing advanced techniques like Retrieval-Augmented Generation (RAG), RIG (Retrieval Interleaved Generation), Agentic Frameworks and vector databases. This is a collaborative role where you will work directly with customers cross-functional teams to design, implement, and optimize AI-driven solutions. Exposure to cloud-native AI platforms such as Amazon Bedrock and Microsoft Azure OpenAI is highly desirable.

Key Responsibilities

Generative AI Application Development:

Design, develop, and deploy GenAI-driven applications to address complex industrial challenges.

Implement Retrieval-Augmented Generation (RAG) and Agentic frameworks

Data Management & Optimization:

Design and optimize document chunking strategies tailored to specific datasets and use cases.

Build, manage, and optimize data embeddings for high-performance similarity searches across vector databases.

Collaboration & Integration:

Work closely with data engineers and scientists to integrate AI solutions into existing pipelines.

Collaborate with cross-functional teams to ensure seamless AI implementation.

Cloud & AI Platform Utilization:

Explore and implement best practices for utilizing cloud-native AI platforms, such as Amazon Bedrock and Azure OpenAI, to enhance solution delivery.

Continuous Learning & Innovation:

Stay updated with the latest trends and emerging technologies in the GenAI and AI/ML fields, ensuring our solutions remain cutting-edge.

Requirements:

The ideal candidate will have strong experience in Generative AI technologies, particularly in the areas of RAG, document chunking, and vector database management. They will be able to quickly adapt to evolving AI frameworks and leverage cloud-native platforms to create efficient, scalable solutions. You will be working in a fast-paced and collaborative environment, where innovation and the ability to learn and grow are key to success.

- 3 to 5 years of overall experience in software development, with 3 years focused on AI/ML.

- Minimum 2 years of experience specifically working with Generative AI (GenAI) technologies.

- Python, PySpark and SQL knowledge is necessary for tasks

- Proven ability to work in a collaborative, fast-paced, and innovative environment.

Technical Skills:

- Generative AI Frameworks & Technologies:

- Expertise in Generative AI frameworks, including prompt engineering, fine-tuning, and few-shot learning.

- Familiarity with frameworks such as T5 (Text-to-Text Transfer Transformation), LangChain, Lang Graph, Open-source tech stalk Ollama, Mistral, DeepSeek.

- Strong knowledge of Retrieval-Augmented Generation (RAG) for combining LLMs with external data retrieval systems.

Data Management:

- Experience in designing chunking strategies for different datasets.

- Expertise in data embedding techniques and experience with vector databases like Pinecone, ChromaDB etc

- Programming & AI/ML Libraries:

- Strong programming skills in Python.

- Experience with AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.

Cloud Platforms & Integration:

- Familiarity with cloud services for AI/ML workloads (AWS, Azure).

- Experience with API integration for AI services and building scalable applications.

- Certifications (Optional but Desirable):

- Certification in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning Specialty).

- Certification or coursework in Generative AI or related technologies.

Job Summary

We are seeking a skilled Data Engineer with 4+ years of experience in building scalable data pipelines and working with modern data platforms. The ideal candidate should have strong expertise in Python, SQL, and cloud-based data solutions, with hands-on experience in ETL/ELT processes and data warehousing.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Python
• Develop and optimize ETL/ELT workflows for data ingestion and transformation
• Work with structured and unstructured data from multiple sources
• Build and manage data warehouses/data lakes
• Perform data validation, cleansing, and quality checks
• Optimize SQL queries and improve data processing performance
• Collaborate with data analysts, data scientists, and business teams
• Implement data governance, security, and best practices
• Monitor pipelines and troubleshoot production issues

Required Skills

• Strong programming experience in Python (Pandas, NumPy, PySpark preferred)
• Excellent SQL skills (joins, window functions, performance tuning)
• Experience with ETL tools like Informatica, Talend, or DBT
• Hands-on experience with cloud platforms (Azure / AWS / GCP)
• Experience in data warehousing solutions like Snowflake, Redshift, BigQuery
• Knowledge of workflow orchestration tools like Apache Airflow
• Familiarity with version control tools like Git

Preferred Skills

• Experience with Big Data technologies (Spark, Hadoop)
• Knowledge of streaming tools like Kafka
• Exposure to CI/CD pipelines and DevOps practices
• Experience in data modeling (Star/Snowflake schema)
• Understanding of APIs and data integration

Summary:

Data Engineer/Analytics Engineer with experience in semantic layer modeling using AtScale, building scalable data pipelines, and delivering high-performance analytics solutions on cloud platforms.

⸻

 Responsibilities

• Build and maintain ETL/ELT pipelines for large-scale data

• Develop semantic models, cubes, and metrics in AtScale

• Optimize query performance and BI dashboards

• Integrate data platforms (Snowflake, Databricks, BigQuery)

• Collaborate with analysts and business teams

⸻

 Skills

• SQL, Python/Scala

• Data modeling (star schema, OLAP)

• AtScale (semantic layer)

• Spark, dbt, Airflow

• BI tools (Tableau, Power BI, Looker)

• AWS / GCP / Azure

⸻

 Experience

• 3–8+ years in data/analytics engineering

• Experience with enterprise data platforms and BI systems

Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Job Title : AWS Data Engineer

Experience : 4+ Years

Location : Bengaluru (HSR – Hybrid, 3 Days WFO)

Notice Period : Immediate Joiner

💡 Role Overview :

We are looking for a skilled AWS Data Engineer to design, build, and scale modern data platforms. The role involves working with AWS-native services, Python, Spark, and DBT to deliver secure, scalable, and high-performance data solutions in an Agile environment.

🔥 Mandatory Skills :

Python, SQL, Spark, AWS (S3, Glue, EMR, Redshift, Athena, Lambda), DBT, ETL/ELT pipeline development, Airflow/Step Functions, Data Lake (Parquet/ORC/Iceberg), Terraform & CI/CD, Data Governance & Security

🚀 Key Responsibilities :

• Design, build, and optimize ETL/ELT pipelines using Python, DBT, and AWS services
• Develop and manage scalable data lakes on S3 using formats like Parquet, ORC, and Iceberg
• Build end-to-end data solutions using Glue, EMR, Lambda, Redshift, and Athena
• Implement data governance, security, and metadata management using Glue Data Catalog, Lake Formation, IAM, and KMS
• Orchestrate workflows using Airflow, Step Functions, or AWS-native tools
• Ensure reliability and automation via CloudWatch, CloudTrail, CodePipeline, and Terraform
• Collaborate with data analysts and data scientists to deliver actionable insights
• Work in an Agile environment to deliver high-quality data solutions

✅ Mandatory Skills :

• Strong Python (including AWS SDKs), SQL, Spark
• Hands-on experience with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
• Experience with DBT and ETL/ELT pipeline development
• Workflow orchestration using Airflow / Step Functions
• Knowledge of data lake formats (Parquet, ORC, Iceberg)
• Exposure to DevOps practices (Terraform, CI/CD)
• Strong understanding of data governance and security best practices
• Minimum 4–7 years in Data Engineering (3+ years on AWS)

➕ Good to Have :

• Understanding of Data Mesh architecture
• Experience with platforms like Data.World
• Exposure to Hadoop / HDFS ecosystems

🤝 What We’re Looking For :

• Strong problem-solving and analytical skills
• Ability to work in a collaborative, cross-functional environment
• Good communication and stakeholder management skills
• Self-driven and adaptable to fast-paced environments

📝 Interview Process :

1. Online Assessment
2. Technical Interview
3. Fitment Round
4. Client Round

We are looking for a strong Mobile Engineer with backend exposure who can own end-to-end feature development. This is a mobile-heavy fullstack role where you will primarily build scalable mobile applications while contributing to backend services and APIs.

Key Responsibilities

• Design and develop high-quality mobile applications (primary focus)
• Build and integrate RESTful APIs and backend services
• Collaborate with product and design teams to ship features end-to-end
• Ensure performance, scalability, and reliability of mobile apps
• Write clean, maintainable, and testable code
• Participate in architecture discussions and technical decision-making

Must Have Skills

• Strong experience in mobile development (Flutter / React Native / iOS / Android)
• Solid understanding of backend development (Node.js / Java / Python / Go)
• Experience with API design, microservices, and databases
• Good understanding of system design and app performance optimization
• Familiarity with cloud platforms (AWS/GCP)

Good to Have

• Experience working in startup environments
• Exposure to CI/CD pipelines and DevOps practices
• Understanding of real-time systems or scalable architectures