Senior Data Migration Engineer
First seen by Alion on Oct 9, 2026.
Position : Data Migration Engineer
Experience : 7 - 10 Year relevant in Data Engineering (Informatica & DBT)
Location : Global Village, Bangalore (Hybrid Remote, Minimum 2 Day / Week from Office)
Shift Timing : 11:00 AM to 08:00 PM IST.
Job Description :
The Senior Data Migration Engineer serves as a hands-on technical contributor and delivery anchor, responsible for designing and implementing Python-based extract/load pipelines, dbt-based transformations, and Airflow-based orchestration for a large-scale migration from Informatica PowerCenter to a modern data stack.
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.
MUST Have Mandatory skills (non-negotiable) :
- 5+ years of Informatica PowerCenter experience - mappings, sessions, workflows, and parameterization
- 5+ years of Python experience, including production use of parallelism and batch data processing
- 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 SQL experience - complex joins, window functions, aggregations across large datasets
Mandate Skills : Informatica, DBT, SQL, Python, Airflow, CI/CD, Docker Image
Key Responsibilities :
- 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
Skills
Data Migration, Data Engineering, Power Center, Python, Informatica, Apache Airflow, Data Build Tool, SQL, ETL, Data Pipeline