Data Migration Engineer (Fall 2026)

NTT DATA North America; Rajuwali; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

NTT DATA North America is seeking a data engineer to translate Informatica workflows into Python EL scripts and dbt models. You will build Python pipelines, land large volumes of data into the warehouse, and implement robust testing with dbt and Python.

You will design dbt transformations, develop Airflow DAGs for end-to-end orchestration, and participate in CI/CD pipelines using GitLab. Collaboration across teams is essential for data quality and performance.

Qualifications

• Informatica workflows experience and Python EL pipelines.
• dbt modeling and testing experience.
• Airflow DAGs development and orchestration.
• Experience with data warehousing and ETL patterns.

Responsibilities

• Assess complex Informatica workflows and translate to Python EL scripts and dbt models.
• Develop Python EL pipelines to land high-volume data into the target warehouse.
• Design and develop dbt transformation models with best practices.
• Develop dbt tests and Python unit tests to verify transformations.
• Create Airflow DAGs to orchestrate Python EL and dbt scripts end-to-end.
• Contribute to GitLab CI/CD pipelines for dbt and Airflow codebases.

Skills

Informatica

Python

dbt

Airflow

SQLAlchemy

cx_Oracle

pyodbc

Oracle Data Pump

SQL Server

Tools

GitLab CI/CD

Job description

• 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.