Senior Data Engineer at EXL Talent Acquisition Team

, , India -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL Pipeline Design & Development, SQL, Python, Data Warehousing, AWS Services, Data Modeling & Transformations, Unit Testing & Code Quality Assurance, Technical Documentation, Problem Solving & Independent Working, GenAI Exposure

Industry

Business Consulting and Services

Description

Key Responsibilities: Design, develop, and maintain scalable ETL pipelines using SQL and Python. Work independently across the full lifecycle: requirement gathering, solution design, development, testing, and production deployment. Write complex and optimized SQL queries to support ETL processes and data transformations. Implement and manage data warehousing solutions following best practices. Develop thorough unit tests to ensure data accuracy, reliability, and code quality. Create and maintain detailed technical documentation for ETL processes and data models. Collaborate with stakeholders to understand data requirements and deliver robust data solutions. Handle multiple tasks and priorities effectively in a fast-paced environment. Must Have Skills: Strong experience in designing and developing ETL pipelines. Excellent SQL skills with hands-on experience in writing complex queries for ETL. Proficiency in Python for data processing and automation. Strong knowledge of Data Warehousing (DWH) concepts and architecture. Experience with AWS services such as Redshift, Lambda, and S3. Ability to work independently with minimal supervision. Experience in unit testing and ensuring high-quality, production-ready code. Strong documentation skills. Good understanding of Generative AI (GenAI) concepts and use cases. Demonstrated ability to work independently, with strong analytical, problem-solving, and client engagement skills. Willingness to work from office 4–5 days a week at Bangalore – Yelahanka location. Strong scripting and programming skills (Python, SQL). Good to Have Skills: Understanding of transactional and marketing data. Exposure to Generative AI (GenAI) concepts or use cases. Experience with additional AWS data services or modern cloud data architecture. Experience working in Agile or fast-paced delivery environments. Key Skills: ETL Pipeline Design & Development, SQL, Python, Data Warehousing (DWH) Concepts, AWS Services (Redshift, Lambda, S3), Data Modeling & Transformations, Unit Testing & Code Quality Assurance, Technical Documentation, Problem Solving & Independent Working, GenAI Exposure,

Responsibilities

The Senior Data Engineer will design, develop, and maintain scalable ETL pipelines while working independently across the full lifecycle of data solutions. Responsibilities also include writing complex SQL queries, managing data warehousing solutions, and collaborating with stakeholders to understand data requirements.