Data Engineering - Technology
People Prime Worldwide
About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
Job Title: Data Engineer - Data Integration
Key Skills: ETL Testing, Data Integration, Data architecture
Experience: 4 - 5 Years
Education Qualification: Any Graduation
We are looking for a DataStage Developer with 2–3 years of experience in ETL development and data integration, preferably in the banking domain . The candidate will play a key role in designing, developing, and enhancing ETL solutions using IBM DataStage while ensuring high-quality, reusable, and scalable data pipelines.
Take an active role in shaping, designing, and enhancing the overall ETL/DataStage architecture .
- Analyze existing ETL processes and recommend and implement performance and architectural improvements .
- Review business and technical requirements to determine feasibility and actionability for the ETL team.
- Manage the ETL build phase , perform code reviews, and ensure quality standards and architectural guidelines are followed.
- Interact with clients and stakeholders to understand requirements and suggest best ETL implementation practices .
- Design and develop reusable ETL components and frameworks for project-wide use.
- Provide technical guidance and support to ETL team members as needed.
2–3 years of hands-on experience in IBM DataStage ETL development
- Strong knowledge of ETL concepts, data integration, and data warehousing
- Experience working in the banking domain (mandatory)
- Ability to design efficient, scalable, and reusable ETL solutions
- Good understanding of data quality, performance tuning, and error handling in ETL
- Experience interacting with clients and translating requirements into technical solutions
Experience acting as an ETL Lead or owning ETL modules
Knowledge of SQL and relational databases
Familiarity with SDLC and ETL best practices
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