Date: Jul 8, 2026
Company: NTT DATA Services
We are currently seeking a SEI - Data Migration Engineer (SWP) (Expanded Resources) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Responsibilities
- This role requires deep expertise in converting complex Informatica workflows into Python, dbt, and Airflow, and the ability to deliver production-quality, functionally equivalent output at enterprise scale.
- Assess complex Informatica workflows including sessions, mappings, and parameterizations and translate them into equivalent Python EL scripts and dbt transformation models.
- Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP.
- Design and develop dbt transformation models based on Informatica mapping logic, incorporating dbt best practices including model layering, macros, incremental strategies, and snapshot patterns.
- Develop dbt-native tests as well as custom Python unit tests to validate transformation correctness and data quality.
- Develop Airflow DAGs to orchestrate Python EL and dbt scripts end-to-end, producing output that is functionally equivalent to the source Informatica workflows.
- Contribute to GitLab CI/CD pipeline for dbt and Airflow code, including lint gates, automated testing, and deployment to shared NAS.
- Perform peer code reviews and provide constructive technical feedback to fellow engineers.
- Troubleshoot performance issues and data discrepancies during SIT and UAT, including row-count reconciliation between source Oracle/SQL Server systems and the target warehouse.
- Contribute to technical documentation, runbooks, and handover materials.
Required Skills & Experience
- 5+ years of Informatica PowerCenter experience - mappings, sessions, workflows, and parameterization
- 3+ years of hands-on dbt Core experience - model layering, macros, tests, incremental materializations
- 3+ years of Airflow experience - DAG authoring, task dependencies, and incorporation with scheduling tool
- 5+ years of Python experience, including production use of parallelism and batch data processing
- 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets
- Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high-volume data movement
Preferred
- Experience with SQLAlchemy, cx_Oracle, or pyodbc for Python-based database connectivity
- Experience mentoring junior and mid-level engineers in offshore delivery models
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.