Senior Data Migration Engineer

NTT DATA BUSINESS SOLUTIONS; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Bengaluru, India, seeks a Senior Data Migration Engineer to lead large-scale migration projects from Informatica PowerCenter to a modern data stack, delivering production-grade Python EL pipelines, dbt models, and Airflow orchestration.

You will convert complex Informatica workflows to Python, dbt, and Airflow, build scalable data pipelines with SQLAlchemy and related tools, and contribute to CI/CD while collaborating with offshore teams.

Qualifications

• 5+ years of Informatica PowerCenter experience (mappings, sessions, workflows, parameterization).
• 3+ years of hands-on dbt Core experience (model layering, macros, tests, incremental materializations).
• 3+ years of Airflow experience (DAG authoring, task dependencies).
• 5+ years of Python experience (production use of parallelism and batch processing).
• 5+ years of SQL experience (complex joins, window functions).
• Experience with Oracle Data Pump or SQL Server BCP/BULK INSERT for high-volume data movement.

Responsibilities

• Design and implement Python-based extract/load pipelines for large-scale data migration.
• Develop dbt transformation models based on Informatica mappings and best practices.
• Create Airflow DAGs to orchestrate Python EL and dbt scripts end-to-end.
• Contribute to GitLab CI/CD for dbt and Airflow; perform code reviews and testing.
• Troubleshoot performance issues and data discrepancies during SIT/UAT; document runbooks.

Skills

Python

SQL

dbt Core

Airflow

Informatica PowerCenter

Tools

Informatica PowerCenter

dbt Core

Airflow

Oracle Data Pump

SQL Server BCP

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a Senior Data Migration Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN).

Key Responsibilities

• 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.
• 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