SEI - Data Migration Engineer (IMS) (Expanded Resources)

NTT DATA, Inc.; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

NTT DATA Services is seeking a SEI - Data Migration Engineer (IMS) to join our Bangalore team. The role focuses on designing and implementing Python-based extract/load pipelines, dbt transformations, and Airflow orchestration for large-scale migration projects from Informatica PowerCenter to a modern data stack.

You will contribute to CI/CD pipelines and support SIT/UAT with data reconciliation. The ideal candidate brings 5+ years of Informatica PowerCenter experience, strong dbt Core, Airflow,

Qualifications

• 5+ years of Informatica PowerCenter experience.
• 3+ years of dbt Core experience.
• 3+ years of Airflow experience.
• 5+ years of Python experience.
• 5+ years of SQL experience.
• Experience with Oracle Data Pump or SQL Server bulk options.

Responsibilities

• Design and implement Python-based extract/load pipelines.
• Create dbt transformation models with best practices.
• Develop Airflow DAGs to orchestrate end-to-end migrations.
• Contribute to CI/CD for dbt and Airflow codebases.
• Troubleshoot data issues and validate data quality.
• Prepare runbooks and documentation.

Skills

Informatica PowerCenter

dbt Core

Airflow

Python

SQL

Oracle Data Pump

SQL Server BCP

SQLAlchemy

cx_Oracle

pyodbc

Tools

Informatica PowerCenter

dbt

Airflow

Python

SQL

Oracle Data Pump

SQL Server BCP

Job description

SEI - Data Migration Engineer (IMS) (Expanded Resources)

Date: Jul 8, 2026

Company: NTT DATA Services

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, apply now.

We are currently seeking a SEI - Data Migration Engineer (IMS) (Expanded Resources) to join our team in Bangalore, Karnātaka (IN‑KA), India (IN).

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.

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

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