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

Job Summary We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports. Key Responsibilities Design, develop, and maintain interactive Power BI dashboards and reports. Create complex DAX measures, calculated columns, and calculated tables to meet business requirements. Develop and optimize SQL queries, stored procedures, views, and ETL processes. Design and implement scalable Star Schema and Snowflake Data Models. Perform report and model performance tuning using DAX Studio. Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements. Manage model deployment, comparison, and version control using ALM Toolkit. Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS). Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration. Collaborate with business users to gather and analyze reporting requirements. Ensure data accuracy, governance, security, and report performance. Troubleshoot data-related issues and implement effective solutions. Create technical documentation and provide knowledge transfer to support teams. Required Skills Technical Skills Strong experience in Microsoft Power BI Development. Expertise in DAX (Data Analysis Expressions). Advanced knowledge of SQL Server/T-SQL and query optimization. Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables). Hands-on experience with Tabular Editor. Experience using DAX Studio for model and query performance tuning. Experience with ALM Toolkit for model comparison and deployment. Strong understanding of Power BI Service/Web Experience. Knowledge of Power Query (M Language). Experience with Row-Level Security (RLS) and data governance. Understanding of data warehousing and ETL concepts.

Job Summary

We are looking for an experienced ETL Tester / Data QA Engineer with strong SQL skills to validate data pipelines, ETL processes, data transformations, and data quality across source and target systems. The candidate should have hands-on experience in writing complex SQL queries, performing data validation, and identifying data discrepancies.

Key Responsibilities

• Perform ETL testing for data extraction, transformation, and loading processes.
• Validate data between source and target systems.
• Write and execute complex SQL queries for data validation and reconciliation.
• Verify data transformations, mappings, joins, aggregations, and business rules.
• Perform data completeness, accuracy, consistency, integrity, and duplicate checks.
• Validate incremental and full data loads.
• Test ETL workflows, batch jobs, and data pipelines.
• Identify, document, and track defects using tools such as JIRA.
• Analyze production data issues and support root-cause analysis.
• Prepare test scenarios, test cases, test data, and execution reports.
• Work closely with developers, data engineers, business analysts, and other QA teams.
• Participate in regression, integration, system, and end-to-end testing.

Required Skills

• Strong hands-on experience in ETL/Data Warehouse Testing.
• Advanced SQL skills, including:
• Joins
• Subqueries
• CTEs
• Window functions
• Aggregations
• Stored procedures
• Data reconciliation
• Knowledge of Data Warehousing concepts such as fact and dimension tables, star/snowflake schemas, and slowly changing dimensions (SCD).
• Experience with ETL tools such as Informatica, Talend, SSIS, DataStage, or similar.
• Experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.
• Good understanding of SDLC/STLC and defect life cycle.
• Experience with Agile/Scrum methodologies.

Good to Have

• Experience with cloud data platforms such as Snowflake, AWS, Azure, or GCP.
• Knowledge of tools such as Databricks, Azure Data Factory, AWS Glue, or dbt.
• Experience with API testing or data pipeline automation.
• Basic knowledge of Python for test/data validation automation.
• Experience testing large-volume datasets and complex data migrations.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, or a related field.
• Strong analytical and problem-solving skills.
• Good communication and documentation skills.

Strong Senior Developer – PL/SQL, SQL & ETL (Microsoft SSIS) Profile

2

Mandatory (Experience 1) – Must have minimum 5+ years of strong hands-on experience in PL/SQL and SQL development, including complex stored procedures, functions, queries, joins, data manipulation, and query/performance optimization.

3

Mandatory (Experience 2) – Must have strong hands-on experience in ETL development using Microsoft SSIS, including building, maintaining, optimizing, and troubleshooting SSIS packages for large-volume data movement and transformation.

4

Mandatory (Experience 3) – Must have solid experience working with Data Warehousing concepts and architectures, including data models, fact/dimension structures, ETL data flows, and enterprise reporting/data warehouse environments.

5

Mandatory (Experience 4) – Must have experience managing batch jobs, scheduling, and data pipelines, ensuring timely and reliable execution of enterprise ETL workflows.

6

Mandatory (Experience 5) – Must have hands-on experience in production support for SSIS/ETL and data warehouse jobs, including monitoring job execution, troubleshooting failures, performing root cause analysis, and implementing preventive fixes.

7

Mandatory (Experience 6) – Must have experience with data quality, validation, and troubleshooting, including identifying and resolving data discrepancies/issues affecting downstream reports, dashboards, and analytics.

8

Mandatory (Experience 7) – Must have experience with unit, integration, and regression testing of SQL, PL/SQL, and ETL components, along with strong documentation of technical designs, data mappings, data flows, and deployment processes.

9

Mandatory (Location) – Must be willing to work in a hybrid model from a city where Cognizant has an office.

10

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2–4 weeks.

Data & BI Support Specialist - JD

Professional Work Experience

• Microsoft SQL Server skills including SSIS, SSAS, DW and Power BI

• ADF, Databricks and Azure synpase skills will be preffered

• Excellent E-Mail and phone communication skills

• Experience in guiding BI Support Engineers

• Experience in global environment

• Ability to read code and support applications, reports and processes

• Excellent analytical and problem-solving skills

• Ability to contribute both independently and as part of a team

• Excellent listening, communication, interperson

• Excellent analytical and problem-solving skills

Looking for a strong Microsoft SQL Server + SSIS resource with L1, L2, L3 (mix) Production Support experience. Role is 75% support and 25% development. Candidate should be able to troubleshoot existing SQL code, ETL jobs, incidents, and perform RCA. Power BI is only 10%. Please prioritize SQL Support Engineers, SSIS Developers, and SQL Developers with production support exposure

Role Summary:

We are looking for an experienced Application Production Support Engineer with strong expertise in application support, incident and change management, Linux/Unix, SQL, Oracle, and monitoring tools. The candidate will be responsible for maintaining application availability, troubleshooting production issues, monitoring system performance, and coordinating with technical and business stakeholders.

Key Responsibilities

• Provide L2/L3 production support for business-critical applications.
• Monitor applications and infrastructure using Splunk, Grafana, and AppDynamics.
• Analyze and resolve production incidents within defined SLAs.
• Perform incident, problem, change, and service request management.
• Troubleshoot application issues across Linux/Unix, SQL, and Oracle environments.
• Perform SQL queries and database-level troubleshooting to identify application issues.
• Analyze application logs, alerts, and performance metrics to identify root causes.
• Coordinate with development, database, infrastructure, and other technical teams for issue resolution.
• Participate in Root Cause Analysis (RCA) and implement corrective/preventive actions.
• Support application deployments, releases, and production changes.
• Ensure effective communication with business users and stakeholders during critical incidents.
• Identify recurring issues and drive problem management and service improvement initiatives.
• Maintain support documentation, knowledge articles, and operational procedures.
• Participate in on-call/shift support as required.

Mandatory Skills

• 6+ years of experience in Application Production Support.
• Strong experience in Incident & Change Management.
• Hands-on experience with Linux/Unix.
• Good knowledge of SQL and Oracle database support.
• Experience with monitoring and observability tools:
• Splunk
• Grafana
• AppDynamics
• Strong troubleshooting and problem-solving skills.
• Good understanding of application monitoring, logs, alerts, and performance analysis.
• Strong stakeholder management and communication skills

CAP-190 : Senior Data Analyst

📍Location : Bangalore / Hyderabad / Chennai / Pune / NCR

🧠Experience : 7 - 15 Years

🆔Job Code : CAP-190

🏢Work Type : Hybrid - 3 Days in a Week

About the Client (CODE: CAP)

CAP operates at the forefront of the financial services industry, providing consulting, technology, and digital transformation solutions to leading organizations worldwide. With a focus on innovation, CAP empowers clients to navigate complex regulatory landscapes, optimize operations, and drive business growth. The company fosters a collaborative and agile culture, encouraging continuous learning and excellence.

Key Responsibilities

● Define and obtain source data required to deliver insights and use cases.

● Determine data mapping and join multiple data sets across various sources.

● Develop methods to highlight and report data inconsistencies for user review.

● Propose and assist with suitable data migration sets for stakeholders.

● Support teams in processing data migration sets and coordinating migration activities.

● Plan, track, and coordinate the data migration team and migration run-book.

● Collaborate with stakeholders to avoid negative customer and business impacts.

● Ensure robust communication and escalation mechanisms across project portfolios.

● Implement strategic solutions and avoid short-term workarounds.

● Maintain strong control and compliance standards in data handling.

Required Skills

● Minimum 7+ years of experience as a Data Analyst, preferably in financial services.

● Strong expertise in Pyspark, Python, and SQL.

● Experience with big data programs and data models in banking or financial markets.

● Ability to write SQL queries and navigate databases such as Hive, CMD, Putty, and Note++.

● Excellent analytical skills and commercial acumen.

● Strong verbal and written communication skills.

● Proven ability to manage multiple priorities and deliver within tight deadlines.

● Business analysis skills, including defining and understanding requirements.

● Familiarity with SDLC, Agile processes, and a bias towards TDD.

● Attention to detail and a proactive, problem-solving mindset.

Nice to Have

● Knowledge and experience in Data Quality & Governance.

● Working experience with Spark Scala or Java for Spark.

● Proven track record of managing small, delivery-focused data teams (for senior roles).

● Experience with market data vendors and domains such as Party/Client, Trade, Settlements, Payments, Instrument and Pricing, Market and/or Credit Risk.

Why Join CAP (Code Name)

Join CAP to work on impactful data initiatives within the financial services sector, tackling complex technical challenges and driving meaningful business outcomes. You'll collaborate with talented professionals in a dynamic, agile environment that values innovation and continuous improvement. CAP offers opportunities for professional growth, skill development, and the chance to contribute to high-visibility projects that shape the future of financial technology.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Job Title : Senior Data Engineer – Databricks

Experience : 14 to 20 Years

Location : HSR Layout, Bangalore

Work Mode : Hybrid – 3 Days WFO

Shift : 11:30 AM – 07:30 PM IST

Positions : 2

Notice Period : Immediate Joiners Only

Interview : 1 Technical Round + 2 Client Rounds

Role Overview :

We are looking for a Senior Data Engineer to build and lead enterprise-scale data platforms for a Switzerland-based commodity client.

The role requires a strong hands-on Data Engineering professional with expertise in Databricks, PySpark, Python, SQL, and AWS, along with technical leadership and stakeholder management experience.

Must-Have Skills :

• 14 to 20 years of Data Engineering experience
• Databricks & Apache Spark / PySpark
• Python & SQL
• AWS Cloud
• Lakehouse Architecture
• ETL / ELT & Distributed Data Processing
• Batch & Streaming Pipelines
• Data Pipeline Optimization & Data Modeling
• CDC & Incremental Processing
• Git, CI/CD & Testing
• Data Quality, Monitoring & Observability
• Technical Leadership & Stakeholder Management

Key Responsibilities :

• Design and build scalable data pipelines using Databricks, PySpark, Python, SQL, and AWS.
• Own data products from design through production.
• Develop batch / streaming pipelines and reusable ETL / ELT frameworks.
• Optimize pipelines for performance, scalability, reliability, and cost.
• Design scalable data architectures and data models.
• Implement data quality, monitoring, lineage, and CI/CD practices.
• Lead technical discussions and mentor engineering teams.
• Collaborate with business stakeholders, architects, product owners, and engineering teams.
• Remain hands-on while providing technical leadership.

Ideal Candidate :

A 14 to 20 years experienced, hands-on Data Engineering leader with strong Databricks + PySpark + AWS expertise, excellent communication, stakeholder management, and experience delivering enterprise-scale data platforms.

🔴 Super Urgent : Only Bangalore-based immediate joiners.

Level: Senior Consultant

Serves as a Subject Matter Expert (SME) for Workforce Software (WFS/ADP Workforce Suite), leading implementation and support engagements across the Workforce Time & Attendance (WT&A) platform. Provides end-to-end expertise in configuration, integration development, troubleshooting, and production support. Partners with stakeholders to translate business requirements into scalable solutions, drive successful project delivery, and resolve complex issues across the WT&A ecosystem through a combination of technical expertise and client-focused consulting.

Work you'll do :

• Serve as SME for WorkForce Software (WFS/ADP Workforce Suite), advising clients on best-practice configuration and design decisions
• Configure and troubleshoot complex business rules: Policy Profiles, Pay Codes, Accruals, Premiums, Exceptions, Basic Scheduling, and Roles
• Design, build, and debug JavaScript integration scripts across distributed libraries (Time Entry Import, HR Import, Exports, Payroll interfaces)
• Translate client business requirements into scalable WT&A configurations
• Write and maintain Oracle SQL queries for data management, validation, and remediation
• Configure and support SSO/SAML integrations (e.g., Azure Entra ID)
• Diagnose and resolve production issues, job log errors, mapping failures, API misuse, integration breaks
• Lead or support client workstreams across the delivery lifecycle: requirements gathering, configuration, testing, deployment, and go-live support
• Coordinate with cross-functional teams (client IT, other WFS consultants, offshore/onshore delivery teams) to drive workstream progress
• Prepare and deliver client-facing materials, status decks, design documents, functional specs
• Mentor junior consultants on WFS configuration and scripting standards
• Manage stakeholder relationships and communicate technical issues/solutions in business terms

Qualifications :

Required Skills, Experience & Certifications :

• Workforce Software (WFS) Configuration/Integration Specialist certification or higher is preferred.
• 7 to 12 years of experience as a techno-functional consultant in Workforce Software Time & Attendance solutions.
• Strong hands-on experience with SQL, JavaScript, and Workforce Software Formula Language.
• PT102, PT103, or equivalent certification is preferred.
• Experience working with Workforce Software products, including: Time & Attendance, Absence Compliance Tracker, Advanced Scheduler, and Workforce Analytics.
• Proven experience configuring complex business rules, including Policy Profiles, Pay Codes, Accruals, Premiums, Exceptions, Basic Scheduling, and Roles.
• Experience developing scheduled scripts, LD imports, generic and incremental exports, and supporting End-of-Period Processing (EOPP).
• Exposure to consulting engagements, Workforce Analytics, and interfaces/integrations is an added advantage.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.
• Strong interpersonal and stakeholder management skills.
• Ability to lead teams and collaborate effectively across all organizational levels.
• Ability to thrive in a fast-paced environment and manage ambiguity.
• Experience in HR Service Delivery, HR Transformation, or HR Shared Services is preferred

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.

Must Have Primary Skills

Data Engineering

• 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
• Strong experience designing scalable batch and streaming data pipelines on AWS.
• Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
• Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

• Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
• Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

• Strong expertise in:
• SQL (Analytical Queries, Window Functions, Stored Procedures)
• Python
• Spark / PySpark
• Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

• Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
• Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
• Strong understanding of:
• Data Modeling
• Partitioning
• File Formats
• Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

• AWS Glue
• Amazon MWAA
• Amazon EMR
• Amazon Redshift
• Amazon S3
• Amazon Athena
• AWS Glue Catalog
• Amazon Aurora PostgreSQL
• AWS Lambda
• Amazon EC2
• Amazon DynamoDB
• Amazon API Gateway
• Amazon CloudWatch
• Amazon SQS
• Amazon SNS
• Amazon EventBridge
• AWS Secrets Manager
• AWS IAM

Development Practices

• Experience with CI/CD.
• Strong knowledge of Git.
• Familiarity with Data Engineering best practices.

Soft Skills

• Strong communication skills.
• Excellent problem-solving ability.
• Stakeholder management experience.

Preferred Certification

• AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

• AWS Step Functions
• Terraform / Infrastructure as Code (IaC)
• Kafka
• Hive
• HDFS
• Other Big Data technologies
• Experience using GenAI-assisted development tools such as:
• GitHub Copilot
• Cursor
• Kiro
• Similar AI coding assistants
• ClickHouse Database
• Telecom / Mobile Network domain knowledge
• AtScale design and development
• Docker
• Kubernetes 

About the Company

Fluxsolve Technovations Private Limited (incorporated 2023) builds Fuse-OS — an AI-powered Insurance Distribution Operating System. Fuse-OS is a unified enterprise platform that orchestrates people, processes, and insurance ecosystems across the distribution chain, from lead generation and policy issuance through servicing, reconciliation, payouts, compliance, and business intelligence.

Unlike traditional policy administration tools or point-solution workflow software, Fuse-OS serves insurers, brokers, corporate agents, aggregators, NBFCs, banks, automotive finance companies, OEMs, and dealer networks through three flagship platforms: Insurance Distribution Management, Revenue & Reporting Management, and Embedded & Group Products Management. The platform is cloud-native and AI-native, multi-tenant and modular, with enterprise security controls, configurable business rules, and integration-ready architecture.

About the Founders

Pankaj Sharma — Co-Founder & CEO. IIT Roorkee (B.Tech ECE). Leadership experience across insurance distribution and strategy, including roles at Angel One, Liberty General Insurance, Pasarpolis Indonesia, HDFC ERGO, and Coverfox, along with prior founding experience.

Prenit Wankhede — Co-Founder & CTO. IIT Kanpur (B.Tech + M.Tech EE). Engineering leadership across insurance technology and financial services, including roles at Liberty General Insurance, Morgan Stanley, and Coverfox, along with prior founding experience as CTO.

Role Summary

We are hiring Backend Developers with a full-stack orientation to help build and maintain Fuse-OS. You will primarily work with Python and Django, contribute to APIs and backend services, and comfortably support light frontend work using HTML, JavaScript, jQuery, and CSS. You will learn from senior engineers while delivering reliable features in a multi-tenant SaaS environment.

Key Responsibilities

·      Develop and maintain backend features using Python and Django

·      Build and enhance REST APIs, data models, business logic, and admin tooling

·      Work with relational databases (PostgreSQL) and background job processing patterns

·      Support full-stack contributions using HTML, JavaScript, jQuery, and CSS where needed

·      Write clean, testable code; participate in code reviews and follow team engineering standards

·      Debug issues across application, data, and service layers with guidance from senior engineers

·      Collaborate with frontend, QA, and product/delivery stakeholders on requirements and delivery quality

·      Contribute to technical documentation and knowledge sharing within the team

Required Skills & Qualifications

·      Hands-on experience with Python and Django (academic projects, internships, or professional work)

·      Working knowledge of PostgreSQL / relational data modeling and ORM usage

·      Comfort with Git, Linux basics, and debugging application behavior from logs

·      Frontend familiarity for full-stack contribution: HTML, JavaScript, jQuery, and CSS

·      Ability to read existing codebases, follow established patterns, and deliver incremental improvements

·      Strong analytical problem-solving skills and attention to detail

·      Good written and verbal communication

Preferred / Nice to Have

·      Familiarity with browser automation using Selenium and Python (big plus)

·      Exposure to Celery/Redis, Django REST Framework, or common data-processing libraries

·      Basic AWS familiarity (e.g., compute, storage, monitoring) — optional but good to have

·      Experience with SaaS products, multi-tenant applications, or enterprise web systems

Domain Preference

Familiarity with the insurance industry and InsurTech is preferred but not mandatory. Strong engineering fundamentals and willingness to learn the domain matter more.

What We Offer

·      Opportunity to build a category-defining Insurance Distribution Operating System (Fuse-OS)

·      Work on modern multi-tenant SaaS architecture with meaningful ownership and mentoring

·      Collaborative product and engineering culture focused on quality and customer outcomes

·      Exposure to enterprise SaaS, AI-enabled workflows, and large-scale operational systems

·      Growth path with clear impact on product and customers

CAP-190 : Senior Data Analyst

📍Location : Bangalore / Hyderabad / Chennai / Pune / NCR

🧠Experience : 7 - 15 Years

🆔Job Code : CAP-190

🏢Work Type : Hybrid - 3 Days in a Week

📨Application Link : https://drive.google.com/drive/folders/1bApWyMvoFHvI6krgw9CPbGZHaqYU0kSZ?usp=sharing

Your Experience at a Glance

We’re hiring a Senior Data Analyst for our client (Code Name:CAP) - CAP is a global consulting firm specializing in digital transformation and technology solutions for the financial services industry. As a Data Analyst / Senior Data Analyst at CAP, you will play a pivotal role in delivering actionable insights and supporting data migration initiatives within the financial services domain. You will collaborate with cross-functional teams to define data requirements, ensure data quality, and drive strategic solutions. This senior-level position requires strong technical expertise, stakeholder management, and a proactive approach to delivering change in a dynamic environment.

About the Client (CODE: CAP )

CAP operates at the forefront of the financial services industry, providing consulting, technology, and digital transformation solutions to leading organizations worldwide. With a focus on innovation, CAP empowers clients to navigate complex regulatory landscapes, optimize operations, and drive business growth. The company fosters a collaborative and agile culture, encouraging continuous learning and excellence.

Key Responsibilitie

● Define and obtain source data required to deliver insights and use cases.

● Determine data mapping and join multiple data sets across various sources.

● Develop methods to highlight and report data inconsistencies for user review.

● Propose and assist with suitable data migration sets for stakeholders.

● Support teams in processing data migration sets and coordinating migration activities.

● Plan, track, and coordinate the data migration team and migration run-book.

● Collaborate with stakeholders to avoid negative customer and business impacts.

● Ensure robust communication and escalation mechanisms across project portfolios.

● Implement strategic solutions and avoid short-term workarounds.

● Maintain strong control and compliance standards in data handling.

Required Skills

● Minimum 7+ years of experience as a Data Analyst, preferably in financial services.

● Strong expertise in Pyspark, Python, and SQL.

● Experience with big data programs and data models in banking or financial markets.

● Ability to write SQL queries and navigate databases such as Hive, CMD, Putty, and Note++.

● Excellent analytical skills and commercial acumen.

● Strong verbal and written communication skills.

● Proven ability to manage multiple priorities and deliver within tight deadlines.

● Business analysis skills, including defining and understanding requirements.

● Familiarity with SDLC, Agile processes, and a bias towards TDD.

● Attention to detail and a proactive, problem-solving mindset.

Nice to Have

● Knowledge and experience in Data Quality & Governance.

● Working experience with Spark Scala or Java for Spark.

● Proven track record of managing small, delivery-focused data teams (for senior roles).

● Experience with market data vendors and domains such as Party/Client, Trade, Settlements, Payments, Instrument and Pricing, Market and/or Credit Risk.

Why Join CAP (Code Name)

Join CAP to work on impactful data initiatives within the financial services sector, tackling complex technical challenges and driving meaningful business outcomes. You'll collaborate with talented professionals in a dynamic, agile environment that values

innovation and continuous improvement. CAP offers opportunities for professional growth, skill development, and the chance to contribute to high-visibility projects that shape the future of financial technology.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Apply here-

https://drive.google.com/drive/folders/1bApWyMvoFHvI6krgw9CPbGZHaqYU0kSZ?usp=sharing

About the Role

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

Key Responsibilities

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

What We're Looking For

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

Tech Stack

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

Perks & Benefits

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

The Data People Shaping Tomorrow

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

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions for complex enterprise challenges. Operating at the intersection of data-intensive platforms and cloud-native infrastructure, the company partners with global clients to modernize their digital ecosystems. With a culture rooted in engineering excellence and pragmatic problem-solving, Euphoric Thought Technologies empowers its teams to deploy high-impact applications that serve millions of end-users across diverse industry verticals.

Role Overview:

As a Senior Python Developer based in Bangalore, you will serve as a technical anchor for our core product development initiatives. You will work closely with cross-functional teams, including product managers, frontend engineers, and DevOps specialists, to architect robust backend services that drive our platform's performance. Your daily contributions will involve translating complex business requirements into clean, maintainable code, ensuring that our systems remain resilient and efficient as we scale to meet growing user demand.

Key Responsibilities:

- Design and implement high-performance backend services using Python to ensure seamless data processing and system reliability for our enterprise clients.

- Develop and maintain RESTful APIs that facilitate smooth integration between internal microservices and external third-party platforms.

- Optimize database queries and schema designs in SQL to improve application latency and support high-concurrency environments.

- Architect and deploy cloud-native solutions on AWS, ensuring that our infrastructure remains scalable, secure, and cost-effective.

- Implement comprehensive unit and integration testing using PyTest to maintain high code quality and minimize production defects.

- Collaborate with stakeholders to refine technical specifications and mentor junior developers to foster a culture of continuous technical improvement.

Required Skillset:

- Demonstrated expertise in building and scaling production-grade applications using Python, with a deep understanding of Django and Flask frameworks.

- Proven ability to design and document RESTful APIs that adhere to industry standards for security and performance.

- Proficient in managing and optimizing complex SQL databases to support data-heavy application requirements.

- Hands-on experience in configuring and managing AWS services to support deployment pipelines and cloud infrastructure.

- Strong commitment to test-driven development, evidenced by a track record of using PyTest to ensure system stability.

- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders and work effectively in a collaborative, office-based environment in Bangalore.

- Possess 6 to 9 years of professional software development experience, showcasing a consistent ability to deliver high-quality code in fast-paced environments.

About the Role

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and AI-assisted software development using Cursor. The role is suited for an engineer who can work directly with clients and internal teams to understand business problems, rapidly build solutions, and take them from prototype to production.

The ideal candidate should have strong expertise in Python, SQL, Databricks, PySpark, data engineering, APIs, and modern AI-assisted development workflows, along with excellent problem-solving and client-facing skills.

Key Responsibilities

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable technical and data solutions.
• Rapidly prototype, test, iterate, and productionize solutions.
• Collaborate with engineering, data, AI, and delivery teams to implement customer solutions.
• Troubleshoot production issues and continuously improve deployed solutions.
• Act as a technical bridge between clients and internal engineering teams.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize ETL/ELT and data processing pipelines.
• Work with Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows.
• Develop data ingestion and transformation pipelines for structured and semi-structured data.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Cursor & AI-Assisted Development

• Use Cursor and AI-assisted development workflows to accelerate software development, debugging, refactoring, and documentation.
• Effectively use AI coding assistants to understand existing codebases and develop new features.
• Apply appropriate engineering judgment to review, validate, test, and secure AI-generated code.
• Use AI-assisted development for rapid prototyping and proof-of-concept development.
• Work with modern AI/LLM APIs and tools where required for customer solutions.
• Stay current with emerging AI-assisted software engineering practices.

Production & Deployment

• Develop production-ready applications, APIs, and data pipelines.
• Work with Git, CI/CD, APIs, containers, and cloud environments.
• Monitor application and pipeline performance and resolve production issues.
• Ensure solutions meet requirements for scalability, security, reliability, and maintainability.
• Collaborate with Data Scientists and ML Engineers to integrate AI/ML capabilities into production systems.

Required Skills & Experience

• 4+ years of experience in Software Engineering, Data Engineering, AI Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse architecture.
• Experience building production-grade data pipelines.
• Hands-on experience with Cursor or similar AI-powered coding assistants.
• Strong understanding of REST APIs and system integrations.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong debugging, problem-solving, and analytical skills.
• Excellent communication and client-facing abilities.

Preferred Skills

• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with Generative AI / LLM applications.
• Knowledge of Claude, OpenAI, Azure OpenAI, or other LLM platforms.
• Experience with RAG, vector databases, embeddings, or AI agents.
• Experience with Docker, Kubernetes, and CI/CD.
• Experience in a consulting, customer-facing engineering, or professional services environment.
• Exposure to Agile/Scrum methodologies.

Key Competencies

• Strong problem-solving and ownership mindset
• Ability to work in ambiguous and fast-paced environments.
• Strong client/stakeholder management skills.
• Ability to understand business requirements and convert them into technical solutions.
• Strong communication and presentation skills.
• Ability to rapidly learn new technologies and tools.
• Comfortable working with AI-assisted development while maintaining high engineering standards.

Education

• Bachelor's or master’s degree in computer science, Information Technology, Engineering, Data Science, or a related discipline.

Role Summary:

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and Generative AI/Claude to work closely with clients, business stakeholders, and internal engineering teams. The ideal candidate will combine strong Data Engineering, Software Engineering, Databricks, and Generative AI skills with the ability to understand business problems and rapidly build, deploy, and optimize production-ready solutions. This is a client-facing, hands-on engineering role where you will work from problem discovery and solution design through POC development, production deployment, and ongoing optimization.

Key Responsibilities:

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable data, AI, and software solutions.
• Design and develop POCs and rapidly validate technical solutions.
• Convert successful POCs into reliable, production-ready applications.
• Work closely with client engineering and data teams during implementation and deployment.
• Troubleshoot production issues and continuously optimize deployed solutions.
• Act as a technical bridge between clients, delivery teams, data engineers, AI engineers, and architects.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize data ingestion, transformation, and ETL/ELT pipelines.
• Work with Databricks Lakehouse, Delta Lake, and Unity Catalog.
• Develop Databricks Workflows and production data pipelines.
• Implement data processing solutions for structured and semi-structured datasets.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Generative AI & Claude

• Build enterprise AI solutions using Claude and other Large Language Models (LLMs).
• Integrate Claude APIs into applications and business workflows.
• Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data.
• Work with embeddings, vector search, semantic search, and knowledge retrieval.
• Develop AI-powered applications for summarization, classification, information extraction, question answering, and document processing.
• Implement prompt engineering, structured outputs, tool/function calling, and context management.
• Develop and integrate AI agents and multi-step AI workflows where applicable.
• Evaluate LLM responses for accuracy, relevance, groundedness, latency, and cost.
• Implement appropriate AI guardrails, security, and data privacy controls.

Production & Deployment

• Deploy AI and data solutions into production environments.
• Work with APIs, microservices, Git, CI/CD, containers, and cloud platforms.
• Monitor application and pipeline performance and troubleshoot issues.
• Collaborate with Data Scientists and ML Engineers to productionize AI/ML models.
• Ensure solutions meet security, scalability, reliability, and maintainability requirements.

Required Skills & Experience

• 4+ years of experience in Data Engineering, Software Engineering, AI/ML Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse Architecture.
• Experience working with Generative AI / LLMs.
• Hands-on experience with Claude / Anthropic APIs is preferred.
• Experience with RAG, embeddings, vector databases, and semantic search.
• Strong understanding of REST APIs and enterprise integrations.
• Experience developing production-grade applications and data pipelines.
• Strong problem-solving and troubleshooting capabilities.
• Excellent communication and client-facing skills.

Preferred Skills

• Experience with Claude Code / Anthropic ecosystem.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, or other LLM platforms.
• Experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, and CI/CD.
• Exposure to AI agents and agentic workflows.
• Knowledge of AI evaluation, guardrails, security, and responsible AI.
• Experience working in consulting, client delivery, or customer-facing engineering environments.

Key Competencies

• Strong customer-facing and stakeholder management skills.
• Ability to understand ambiguous business problems and translate them into technical solutions.
• Strong ownership and execution mindset.
• Ability to rapidly prototype, iterate, and productionize solutions.
• Strong analytical and troubleshooting skills.
• Comfortable working in fast-paced and dynamic client environments.
• Excellent written and verbal communication.
• Ability to work independently as well as collaboratively with distributed teams.

Strong hands-on experience with Adobe Workfront.

Expertise in Workfront architecture and enterprise implementations.

Advanced knowledge of:

• Workfront configuration
• Custom Forms & Custom Fields
• Workflows & Approval Processes
• Templates
• Reports & Dashboards
• Portfolios & Programs
• User/Role/Security Management

Strong experience with Workfront Fusion.

Experience designing API-based integrations.

Strong knowledge of REST APIs, JSON, HTTP, webhooks, and data mapping.

Experience with enterprise integration platforms/middleware.

Understanding of automation, scalability, security, and governance.

Ability to create high-level and low-level solution designs.

JD:

We are looking for a skilled Axiom Technical Analyst / Developer to support and enhance regulatory reporting platforms.

The ideal candidate will have strong hands-on experience with Axiom, solid SQL skills, and a good understanding of ETL processes. Exposure to Python is a plus.

This role involves close collaboration with Finance, and Data Engineering teams to ensure accurate, timely, and compliant data reporting.

Role Overview

We are looking for experienced Azure Databricks Data Engineers with strong hands-on expertise in Apache Spark/PySpark, Python, SQL, and Azure Data Factory (ADF). The candidate will be responsible for designing, developing, and optimizing scalable data engineering solutions on the Azure cloud platform.

Mandatory Skills

• Strong hands-on experience with Azure Databricks
• Strong knowledge of Apache Spark and/or PySpark
• Proficiency in Python
• Strong SQL development and query optimization skills
• Hands-on experience with Azure Data Factory (ADF)
• Experience developing and maintaining scalable ETL/ELT data pipelines
• Good understanding of Azure data engineering concepts and cloud-based data platforms

Key Responsibilities

• Design, develop, and maintain data pipelines using Azure Databricks and ADF
• Develop efficient data processing solutions using PySpark/Spark and Python
• Write complex SQL queries for data transformation, validation, and analysis
• Build scalable ETL/ELT workflows for large datasets
• Optimize Spark jobs, Databricks notebooks, and data pipelines for performance
• Integrate data from multiple sources into Azure-based data platforms
• Implement data quality, validation, error handling, and monitoring mechanisms
• Troubleshoot production issues and provide timely resolutions
• Collaborate with data architects, analysts, developers, and business stakeholders
• Follow best practices for code quality, security, performance, and maintainability

Experience Requirements

For 5+ Years

• 5+ years of overall experience in data engineering
• Strong hands-on experience in Azure Databricks, PySpark/Spark, Python, SQL, and ADF
• Experience working on enterprise-scale data pipelines

For 9+ Years

• 9+ years of overall experience in data engineering
• Strong expertise in Azure Databricks and modern Azure data engineering
• Proven experience designing and optimizing large-scale data pipelines
• Ability to lead technical discussions and mentor junior engineers

Preferred Skills

• Azure Data Lake Storage (ADLS)
• Delta Lake
• Databricks Workflows
• Azure DevOps / CI-CD
• Git
• Data warehousing concepts
• Experience with Agile/Scrum methodologies

About the Role

We are looking for a motivated Data Engineer with 2+ years of professional experience to join our team. You will be responsible for designing, developing, and maintaining scalable data pipelines and cloud-based data solutions while taking ownership across the full software development lifecycle.

The ideal candidate will have strong experience in modern data engineering practices, cloud platforms, and marketing/advertising data integrations such as Google Ads, Meta Ads, and analytics platforms.

This role is suited for someone who enjoys solving complex data challenges, building reliable systems, and working in a fast-paced environment.

Key Responsibilities

• Design, build, and maintain scalable and reliable ETL/ELT data pipelines.
• Develop and optimize data models, transformations, and warehouse solutions for analytics and reporting.
• Work with marketing and advertising datasets from platforms such as Google Ads, Meta Ads, Google Analytics, and similar ecosystems.
• Integrate APIs, third-party systems, and cloud-native services into data workflows.
• Optimize complex SQL queries and improve pipeline performance and reliability.
• Implement data quality checks, monitoring, and observability across pipelines.
• Collaborate with cross-functional teams including product, analytics, and engineering teams to deliver data-driven solutions.
• Contribute to software engineering best practices including Git workflows, CI/CD pipelines, testing, and documentation.
• Participate in architecture discussions and help improve data platform standards and best practices.
• Build and maintain solutions within Google Cloud Platform (GCP) environments.

Qualifications

• 2+ years of professional experience in Data Engineering or related fields.
• Strong proficiency in Python programming.
• Advanced SQL skills with experience in query optimization and data warehousing concepts.
• Experience working with marketing and advertising platforms such as Google Ads, Meta Ads, Google Analytics, DV360, or similar platforms.
• Experience working with AI-assisted coding and development tools such as Claude Code, Cursor, or similar platforms
• Hands-on experience leveraging AI-based development tools to accelerate data engineering implementation and automation
• Familiarity with AI-powered coding assistants and agentic development workflows
• Understanding of marketing data pipelines, attribution reporting, campaign analytics, or customer analytics is highly desirable.
• Hands-on experience with at least one major data engineering technology such as Airflow, Spark, Kafka, Databricks, or similar frameworks.
• Strong experience with Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, Cloud Functions, GCS, or Composer.
• Familiarity with APIs, Linux environments, CLI tools, Git, and CI/CD workflows.
• Strong understanding of data pipeline design, orchestration, monitoring, and troubleshooting.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and contribute across multiple technical domains.

Who are we?

Inflexion Analytics is a team of data science and analytics consultants based in London, UK, and Bangalore India. Founded in 2015, we have built a strong track record and foundation serving demanding clients. We are now looking to achieve significant growth and become a leading specialist consultancy in the data science field.

What we do?

We help businesses to improve performance through better insight and decision-making. To achieve this, we offer services across the data science value chain including; data strategy, data engineering, data insights, and visual analytics. We work with a global client base, including clients based in the US, UK, Europe, and Australia. 

Design, develop, and maintain ETL pipelines involving large-scale data.

Develop data processing and analytics applications primarily using PySpark and Python.

Build scalable and distributed data processing solutions using Apache Spark.

Develop and deploy data applications on AWS cloud.

Work with AWS services related to storage, compute, ETL, data warehousing, analytics, and streaming.

Implement distributed storage and processing solutions capable of handling high-volume datasets.

Design data processing applications with a focus on performance, scalability, reliability, and optimization.

Work with both SQL and NoSQL databases for data storage, processing, and analytics.

Write, optimize, and analyze SQL, HQL, and NoSQL queries.

Troubleshoot data pipeline and processing issues and ensure data quality and reliability.

Collaborate with data engineers, analysts, architects, and other technical teams to deliver data-driven solutions.

Role Summary

Seeking an experienced SQL Developer with strong expertise in Data Lake architecture, Data Engineering, AI/ML data modelling, and Vector Database design. The candidate will be responsible for building scalable data platforms, developing optimized SQL solutions, designing AI-ready data models, and supporting enterprise analytics and GenAI initiatives.

Key Responsibilities

• Design, develop, and optimize complex SQL queries, stored procedures, views, and database objects.
• Build, maintain, and govern enterprise Data Lakes for structured, semi-structured, and unstructured data.
• Design scalable data models for Analytics, Machine Learning (ML), and AI applications.
• Develop and maintain data ingestion, transformation, and data preparation pipelines.
• Architect and manage Vector Database solutions supporting GenAI, semantic search, embeddings, and RAG-based applications.
• Ensure data quality, security, performance, governance, and scalability across platforms.
• Integrate data from multiple enterprise systems, databases, APIs, and business applications.
• Collaborate with Business, Analytics, Data Science, and AI teams to deliver enterprise data solutions.

Mandatory Skills

• Advanced SQL Development (SQL Server, PostgreSQL, Oracle, MySQL, etc.)
• Data Lake Architecture, Development, and Maintenance
• Data Warehousing & Dimensional Data Modelling
• AI/ML Data Modelling and Feature Engineering
• Python for Data Engineering, Data Processing, and Automation
• Query Performance Tuning & Database Optimization
• Data Governance & Data Quality Management
• Vector Database Architecture and Management (Pinecone, Qdrant, Weaviate, Milvus, Chroma, or similar)
• Experience handling large-scale structured and unstructured datasets

Preferred Skills

• Experience with GenAI, RAG (Retrieval-Augmented Generation), Embeddings, and LLM-based applications
• PySpark and Distributed Data Processing
• Power BI or Enterprise Reporting Platforms
• Knowledge of MLOps, AI data pipelines, and modern data architectures

Key Attributes

• Strong analytical and problem-solving skills
• Ability to independently own end-to-end data platform solutions
• Excellent communication and stakeholder management skills
• Passion for Data Engineering, AI, ML, and GenAI technologies

Ideal Candidate

A hands-on SQL Developer who can build and maintain enterprise Data Lakes, design AI/ML-ready data models, develop Python-based data solutions, and architect Vector Database platforms to support advanced analytics, AI, and GenAI initiatives.

Job Title: Automation Engineer – Watermelon Tool 

Experience: 6–7 Years

Location: Bangalore

Work Mode: Hybrid

Notice Period: Immediate Joiners (Apply only if you can join within 15 Days)

Key Responsibilities:

Design, develop, and maintain automated test scripts using the Watermelon automation tool.

Build and enhance automation frameworks for web, API, and enterprise applications.

Analyze business and functional requirements to identify automation opportunities.

Execute automated regression, smoke, sanity, and functional test suites.

Maintain reusable automation components and improve test coverage.

Integrate automation scripts with CI/CD pipelines.

Perform root cause analysis for failed test cases and provide detailed defect reports.

Work closely with developers, business analysts, and QA teams to resolve issues.

Ensure automation standards, coding best practices, and documentation are followed.

Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.

Required Skills:

5–10 years of experience in Automation Testing.

Strong hands-on experience with the Watermelon automation tool (mandatory).

Experience in test automation framework development and maintenance.

Knowledge of API testing and automation.

Experience with SQL for database validation.

Familiarity with Git or other version control systems.

Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitLab CI.

Strong understanding of SDLC, STLC, and Agile methodologies.

Excellent debugging, analytical, and problem-solving skills.

Good verbal and written communication skills.

Preferred Skills:

Experience with Selenium, Playwright, Cypress, or similar automation tools.

Knowledge of Java, Python, or JavaScript for automation scripting.

Exposure to cloud platforms such as AWS, Azure, or GCP.

Experience working in enterprise-scale automation projects.

ISTQB or equivalent testing certification is an added advantage.

Roles & Responsibilities:

Develop scalable and maintainable automation solutions.

Improve automation coverage and reduce manual testing effort.

Collaborate with stakeholders to deliver quality software releases.

Identify automation improvements and implement best practices.

Support production validation and release testing activities.

Mandatory Skills:

Watermelon Automation Tool

Test Automation

Automation Framework Development

API Testing

SQL

Git

CI/CD

Agile Methodology

Generative AI Engineer 

Role Overview:

You will be responsible for the hands-on development, coding, and deployment of AI-powered features. Your focus is on writing clean, efficient code to integrate LLMs into our existing tech stack, building robust data pipelines for RAG, and ensuring the reliability of model outputs through rigorous testing and optimization.

Key Responsibilities

• Application Implementation: Code and integrate LLM APIs (OpenAI, Anthropic, etc.) or local models into backend services using Python, FastAPI, etc.,
• MCP Server Development: Design and implement custom MCP servers using the official SDKs (Python/TypeScript) to expose internal databases, APIs, and file systems to AI agents.
• RAG Implementation: Build and maintain the "plumbing" for Retrieval-Augmented Generation—specifically coding the data ingestion scripts, text chunking logic, and metadata filtering.
• Vector DB Management: Perform day-to-day operations on vector databases (Pinecone, Milvus, etc.), including indexing, querying, and optimizing search retrieval.
• Prompt Programming: Develop, version-control, and refine complex prompt templates (using Jinja2 or similar) to ensure consistent structured outputs (JSON/YAML).
• Agent Development: Implement multi-step workflows using LangChain, LangGraph, CrewAI etc.,, focusing on tool-calling logic and error handling.
• Evaluation & Testing: Build automated test suites to detect "hallucinations" and measure accuracy using frameworks.
• Performance Tuning: Implement caching layers and streaming responses to reduce latency and improve the end-user experience; Token optimization.
• Data Pre-processing: Clean and tokenize datasets for model fine-tuning or high-quality context retrieval.

Technical Skills (The "Execution" Stack)

• Language: Advanced Python (Asyncio, Pydantic) and optional TypeScript/Node.js (for full-stack integration).
• AI Frameworks: Hands-on experience with any of LangChain, LlamaIndex, and Hugging Face Transformers. RAG and Vector search concepts.
• Data Handling: Proficiency in SQL and handling unstructured data formats (PDFs, Markdown, JSON).
• Deployment: Practical experience with Docker, GitHub Actions (CI/CD), and experience with OpenTelemetry, LangSmith, Weights & Biases etc., Understanding of evaluation/guardrails.
• MCP/API Proficiency: Deep understanding of RESTful APIs, Streaming HTTP, MCP server vs client, JSONRPC

RPA.

Must Have:

• More than 8 years of overall experience in Robotic Process Automation and ML technologies. 

• 4-5 years of direct experience in developing with UiPath/Automation Anywhere (A360), Python

• Strong Knowledge in SQL to write queries (Insert, Delete, Select , Update & Joins) and have knowledge on Stored Procedure to Execute or Modify.

• Experience on Custom / Build in Queues like Workload Management Queues.

• Certifications with other RPA software tools (e.g., Automation Anywhere, UiPath etc.) preferred

Nice to Have Skills:

Experience with business process improvement, including process mapping and design-based thinking preferred

Bachelor’s degree in computer science experience.

Design, develop, test, and optimize solutions to automate processes using automation technology including AA/UiPath.

Designs automated solutions in accordance with enterprise leading practices and design principles.

Assists in the collection and documentation of solution design requirements.

Builds and test automation processes including unit and integration testing.

Analyzes and resolves automation software issues where required.

Participates in peer review of solution designs

TECHNICAL SKILLS:

Automation Tools : UiPath, Automation Anywhere A360

Reporting Tools : SAP BO 4.2, Tableau

Databases : MS SQL Server 2010/2008, Teradata, Stored Procedures

Languages : .Net, XML, VB Scripting, Python

Platforms : Unix, Windows 10/7/XP

SDLC Methodology : Agile, Waterfall

Other Tools : MS Office, XML Editor, Jira, SharePoint, ALM, Service Now, Rally, Visual studio

Job Description:

Position: Senior Data Engineer

Location: Chennai / Pune / Bangalore / Hyderabad

Working Type: WFO

Shift: UK Shift (2:00 – 11:00 PM)

Experience : 7+ years overall

Interviews: Assessment || 2 Interview rounds.

Notice Period: Immediate Joiner

Key Responsibilities

Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.

Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.)

Manage large-volume ingestion and backfill operations

Implement Bronze to Silver transformation pipelines

Develop incremental load and CDC logic

Optimize Lakehouse performance and storage patterns

Implement monitoring (record counts, load duration, failure tracking)

Support Dev/Test/Prod promotion processes

Required Qualifications

7+ years of data engineering experience

Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory

Strong experience with Fivetran or similar ELT tools

Experience handling high-volume datasets (hundreds of millions of records)

Proficiency in SQL, Python, and data modeling concepts

Strong understanding of Medallion architecture.

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management

Are you someone who can do whatever it takes to make sure user's are provided with best customer suppport possible for fastest growing consumer apps in India. If yes then this is job for you. Head team of 4-5 support executive with hands on attitude to find issues and make sure they are solved asap.

Note - If you need handholding to do your job then this job is not yours. Don't mind applying.

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Description:

Analytical Engineer with strong Data Analyst and Data Modelling expertise required to translate business requirements into structured, analytics-ready datasets. Must have experience in Data Vault 2.0 / dimensional modelling and advanced SQL for data transformation and analysis. Role focuses on data profiling, validation, and delivery of trusted data for reporting and analytics. Experience with Azure/Databricks and enterprise data environments preferred. Strong stakeholder engagement and ability to bridge business and technical data requirements essential.

Must Have Skills

• Data Analysis
• Data Governance
• Data Modeling tool

Nice to Have Skills

• Business writing skills
• Governance, Risk and Controls
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge

Design, build, and maintain end-to-end data pipelines to ingest, process, and transform data from files, streams,

APIs, and relational/non-relational databases into Snowflake.   Develop and optimize ELT/ETL pipelines using Snowflake SQL,

Snowpipe, Streams & Tasks, and cloud-native orchestration tools.   Implement scalable data models and schemas (staging, curated, and consumption layers) to support analytics and reporting use cases.   Develop transformations and business logic using SQL and Python, including Snowflake UDFs and stored procedures.   Optimize Snowflake performance and cost through query tuning, warehouse sizing, clustering, and resource management.   Integrate Snowflake with cloud storage and services across AWS and Azure (e.g., object storage, data integration, and mess

Job Summary

We are seeking a skilled Azure Data Engineer with hands-on experience in Azure Data Services, Azure Databricks, Python, PySpark, and SQL. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and data processing solutions to support business intelligence, analytics, and reporting requirements.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and PySpark.
• Build and optimize data processing workflows using Python and SQL.
• Develop and manage data ingestion pipelines from multiple structured and unstructured data sources.
• Work with Azure Data Factory (ADF) to orchestrate and schedule data pipelines.
• Implement data transformation and cleansing logic using PySpark.
• Optimize SQL queries and Spark jobs for performance and scalability.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and governance across the data platform.
• Monitor, troubleshoot, and resolve production data pipeline issues.
• Follow coding standards, version control, and CI/CD best practices.

Required Skills

• Strong experience with Microsoft Azure cloud services.
• Hands-on experience with Azure Databricks.
• Strong programming skills in Python.
• Expertise in PySpark for large-scale data processing.
• Strong SQL skills, including query optimization and performance tuning.
• Experience with Azure Data Factory (ADF).
• Knowledge of Delta Lake, Spark SQL, and Databricks notebooks.
• Experience with Git or Azure DevOps for source code management.
• Understanding of data warehousing concepts and ETL/ELT processes.

Preferred Skills

• Experience with Azure Synapse Analytics.
• Knowledge of Delta Live Tables (DLT).
• Experience with Azure Data Lake Storage (ADLS Gen2).
• Familiarity with Unity Catalog and data governance.
• Exposure to CI/CD pipelines and infrastructure-as-code.
• Experience working in Agile/Scrum environments.

Who are we?

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

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

What do we do?

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

Tech Stack :

• Postman
• Playwright
• Jenkins

Job Responsibilities :

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

Required Skills & Qualifications :

• 1-3 years of experience as an SDET, Automation Engineer, or Full-Stack QA.
• Experience with UI automation using Playwright and Selenium.
• Strong experience in API testing and automation using Postman.
• Proficient in JavaScript for building automation scripts, API test assertions, and test utilities.
• Experience with white-box and black-box testing, and automation design patterns such as Page Object Model (POM).
• Familiarity with BDD frameworks (e.g., Cucumber) and modern testing practices.
• Experience with Git and integrating automation suites into CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Working knowledge of SQL for database validation and backend testing.

We are looking for a Junior Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/junior-fullstack-developer to apply

Job Summary

We are looking for an experienced Oracle Database Administrator (DBA) with strong expertise in Oracle Database administration, Linux environments, SQL, monitoring tools, and application support. The ideal candidate will be responsible for managing Oracle databases, ensuring high availability, monitoring database performance, troubleshooting production issues, and supporting business-critical applications.

Key Responsibilities

• Install, configure, upgrade, and maintain Oracle Database environments.
• Perform database administration activities including backup, recovery, cloning, patching, and migration.
• Monitor database health, performance, and availability using monitoring tools.
• Optimize SQL queries and database performance.
• Troubleshoot database and application-related issues in production environments.
• Perform database capacity planning, performance tuning, and health checks.
• Manage Oracle RMAN backups and recovery strategies.
• Support application deployments and coordinate with development teams.
• Analyze logs and resolve database, application, and Linux server issues.
• Create and maintain database documentation, SOPs, and operational procedures.
• Participate in on-call support and incident management activities.
• Ensure database security, compliance, and disaster recovery readiness.

Required Skills

• Strong experience with Oracle Database Administration (11g/12c/19c)
• Good knowledge of Linux (RHEL/CentOS/Oracle Linux)
• Strong SQL and PL/SQL troubleshooting skills
• Experience with database backup and recovery using RMAN
• Knowledge of Oracle Data Pump (Export/Import)
• Experience with performance tuning and query optimization
• Hands-on experience with monitoring tools such as:
• OEM (Oracle Enterprise Manager)
• Nagios
• Zabbix
• SolarWinds
• AppDynamics
• Splunk
• Grafana
• Experience in production/application support

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats and anomalies. Together with partners and customers, we embark on a data and AI led transformation journey that delivers impactful and measurable results.

Job Overview:

We are seeking a highly skilled DBA, AWS Database Migration & Data Engineering Consultant with strong Oracle/SQL Server expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle/SQL Server database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/tools like Oracle Exadata, Oracle Data Integrator (ODI), and similar tools.

The ideal candidate combines deep experience in Oracle/SQL Server database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration.

Key Responsibilities:

• Lead end-to-end SQL Server database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments.
• Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.
• Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration.
• Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).
• Leverage AWS DMS and SCT for full load and continuous replication migrations.
• Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR).
• Design and implement secure, highly available database architectures on AWS.
• Build and optimize data pipelines using AWS Glue, PySpark, or EMR.
• Manage S3-based data lakes and metadata using Glue Data Catalog.
• Collaborate with application, infrastructure, and analytics teams for smooth migration and post-migration stabilization.
• Implement data validation, reconciliation, and rollback mechanisms.
• Ensure compliance with security, governance, and regulatory standards (GDPR, HIPAA, etc.).

Must Have:

• 7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).
• Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora).
• Hands-on with AWS DMS and SCT for full load and CDC replication.
• Strong experience in database administration (HA, DR, backup/restore, schema conversion).
• Experience building pipelines using AWS Glue, PySpark, or Spark on EMR.
• Strong experience with S3-based data lakes and Glue Data Catalog.
• Strong SQL, Python/PySpark, and shell scripting.

Nice to Have:

• Experience with Aurora Global Database and cross-region replication.
• Familiarity with Oracle GoldenGate for real-time replication.
• Knowledge of Data Mesh architecture and cross-account data sharing in AWS.
• Experience with Redshift, Lake Formation, and modern data warehousing.
• Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins).
• AWS Certifications (Solutions Architect Associate / Data Engineer Associate).
• Experience mentoring teams and driving knowledge transfer sessions.
• Experience with Infrastructure as Code (Terraform / CloudFormation).

As an Associate Technical Architect - Data, you will lead the end-to-end design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will provide technical leadership across the entire project lifecycle—from solution architecture and technology selection to implementation, optimization, deployment, and production support.

The role requires deep hands-on expertise in modern AWS data engineering technologies, strong architectural skills, and the ability to mentor engineering teams while collaborating with business and technical stakeholders to deliver scalable, secure, and high-performance data solutions.

Must Have Skills:

• 8+ years of experience designing and delivering enterprise-scale Data Lake, Lakehouse, or Data Warehouse solutions on AWS.
• Proven experience leading end-to-end implementation of cloud-native data platforms, including architecture, design, development, deployment, and production support.
• Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, and Python.
• Strong hands-on experience designing and implementing Lakehouse architectures using Apache Iceberg.
• Strong knowledge of AWS services including EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, IAM, and related AWS data services.
• Experience designing and implementing scalable batch and streaming data pipelines using AWS native services.
• Strong expertise in Spark/PySpark performance tuning and optimization.
• Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance, scalability, and cost efficiency.
• Strong understanding of data modeling, distributed data processing, partitioning strategies, file formats, and Lakehouse/Data Lake architectures.
• Strong understanding of AWS architecture principles, including security, networking, disaster recovery, scalability, resiliency, and cost optimization.
• Experience designing orchestration workflows using Apache Airflow or AWS Step Functions.
• Ability to define cloud data platform architectures, evaluate technology choices, and articulate architectural trade-offs and best practices.
• Experience leading globally distributed engineering teams, mentoring developers, conducting architecture/code reviews, and driving engineering best practices.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills with the ability to translate business requirements into scalable technical solutions.
• AWS Solution Architect Associate/Professional or AWS Data Engineer Associate certification is preferred.

Good to Have Skills:

• Experience with ClickHouse, including performance tuning and query optimization.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience implementing CI/CD pipelines for data engineering workloads.
• Exposure to Kafka, Hive, HDFS, or other Big Data technologies.
• Hands-on experience using GenAI-assisted development tools such as Kiro, GitHub Copilot, Cursor, or similar AI coding assistants to improve engineering productivity.
• Experience integrating with data governance and metadata management tools such as Collibra.
• Experience integrating with data virtualization platforms such as Denodo.
• Telecom/Mobile Network domain knowledge is preferred but not mandatory.

Job Title : Senior Software Development Engineer in Test (Sr. SDET)

Experience : 5 to 10 Years

Location : Bengaluru (5 Days Work From Office)

Working Days : Monday to Friday (5 Days a Week)

Notice Period : Immediate to 15 Days

Interview Process : 2 Technical Client Rounds

Role Overview :

We are looking for a Senior SDET with strong expertise in Backend/API Automation Testing for Microservices-based applications.

The ideal candidate should have experience building scalable automation frameworks, validating distributed systems, and integrating automation into CI/CD pipelines.

Mandatory Skills :

Java, Backend Automation Testing, API Automation, REST Assured, Microservices, TestNG, JUnit, Maven / Gradle, CI/CD, SQL, Kafka / RabbitMQ / SQS, Docker, Kubernetes, REST APIs, Distributed Systems, Grafana / Prometheus / Kibana / Splunk.

Preferred Skills :

AWS / GCP / Azure, MongoDB, Redis, Cassandra, WireMock, Pact, JMeter, Gatling, k6, Python, Shell Scripting.

Key Responsibilities :

• Design and maintain API/backend automation frameworks.
• Perform functional, integration, regression, and end-to-end testing.
• Automate testing for microservices and event-driven architectures.
• Integrate automation into CI/CD pipelines.
• Validate asynchronous workflows using messaging systems.
• Collaborate with Development and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and improve automation best practices.

Required Skills & Qualifications :

• 5+ years of experience in Software Testing with a strong focus on Backend / API Automation.
• Hands-on experience testing Microservices-based applications.
• Strong expertise in REST API testing using REST Assured, HTTP Client, Postman, or similar tools.
• Excellent programming skills in Java with hands-on experience developing scalable automation frameworks.
• Strong experience with TestNG, JUnit, Maven/Gradle, and CI/CD integration.
• Hands-on experience validating asynchronous workflows using Kafka, RabbitMQ, AWS SQS, or similar messaging platforms.
• Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle, including complex queries and joins.
• Experience working with Docker, Kubernetes, and containerized applications.
• Experience validating applications deployed in Ephemeral or dynamic test environments.
• Good understanding of distributed systems and backend application architecture.
• Experience with observability and monitoring tools such as Grafana, Prometheus, Kibana, or Splunk.
• Strong understanding of software design principles, automation architecture, and test automation design patterns.

Preferred Skills :

• Experience with NoSQL databases such as MongoDB, Redis, or Cassandra.
• Knowledge of contract testing, service virtualization, and mocking tools such as WireMock or Pact.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Experience with performance and resilience testing tools such as JMeter, Gatling, or k6.
• Working knowledge of Python or Shell scripting.

Job Summary

We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications.
• Develop RESTful APIs using Flask and/or Django.
• Build scalable data processing pipelines using PySpark.
• Write efficient SQL queries, stored procedures, and optimize database performance.
• Integrate applications with databases and third-party services.
• Collaborate with cross-functional teams to gather and implement business requirements.
• Troubleshoot, debug, and enhance application performance.
• Follow coding standards, perform code reviews, and maintain technical documentation.

Required Skills

• Strong proficiency in Python.
• Hands-on experience with Flask and/or Django.
• Experience with PySpark for large-scale data processing.
• Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
• Understanding of REST APIs and microservices architecture.
• Experience with Git/version control.
• Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Docker and Kubernetes.
• Knowledge of CI/CD pipelines.
• Experience with Airflow or other workflow orchestration tools.
• Understanding of Agile/Scrum methodologies.

Roles & Responsibilities

What You'll Do

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

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

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

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

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

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

Ideal Candidate

1.Strong Backend Node.js Developer Profile

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

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

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

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

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

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

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

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

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

11.Mandatory (Compensation Alignment) – Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike.

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

13.Mandatory (Note1) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

14.Mandatory (Note2) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

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

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

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

Experience : 5 to 10 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 10 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

Required Qualifications

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

Nice to Have

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

What Sets You Apart

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

About the role

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

Required Qualifications

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

Nice to Have

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

What Sets You Apart

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

6 days WFO.

Strong Backend Node.js Developer Profile

2

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

3

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

4

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

5

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

6

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

7

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

8

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

9

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

10

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

11

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

12

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

13

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

14

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

15

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

Roles & Responsibilities

What You'll Do

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

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

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

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

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

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

Ideal Candidate

What You'll Bring

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

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

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

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

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

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

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

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

Experience : 8 to 15 Years

Location : Kasturi Nagar, Bengaluru (On-site)

Work Mode : 5 Days Work From Office

Employment Type : Full-Time

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

About the Role :

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

Mandatory Skills :

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

Key Responsibilities :

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

Requirements :

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

Hiring Process :

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

What We're Looking For :

We are specifically looking for engineers who :

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

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

Java Developer – Job Description

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

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

Required Skills

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

About Wissen Technology

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

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

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

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

Wissen Technology offers an array of services including:

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

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

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

Responsibilities

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

Requirements

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

Good to Have

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