Senior Data Migration Engineer

NTT DATA, Inc.; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

NTT DATA seeks a Senior Data Migration Engineer in Bangalore to lead a high-volume migration from Informatica PowerCenter to a modern stack using Python EL, dbt and Airflow. You will design, implement and optimize pipelines, transformations and orchestrations, ensuring production-quality results.

You will translate complex Informatica workflows into Python, dbt models and Airflow DAGs, mentor teammates, and contribute to CI/CD pipelines while resolving data discrepancies.

Qualifications

• 5+ years of Informatica PowerCenter experience with mappings, sessions, workflows and parameterization.
• 3+ years hands-on dbt Core experience including model layering, macros and tests.
• 3+ years of Airflow experience with DAG authoring and dependencies.
• 5+ years of Python for production data processing and parallelism.
• 5+ years of SQL experience with complex joins and analytics.
• Experience with Oracle Data Pump or SQL Server BCP for high-volume data movement.

Responsibilities

• Design and implement Python-based extract/load pipelines and dbt transformations for large-scale migration.
• Develop Airflow DAGs to orchestrate Python EL and dbt scripts end-to-end.
• Translate Informatica workflows into Python EL scripts and dbt models.
• Contribute to GitLab CI/CD for dbt and Airflow with testing and deployment.
• Troubleshoot performance issues and data discrepancies across source and target systems.
• Create technical documentation, runbooks and handover materials.

Skills

Informatica PowerCenter

dbt Core

Airflow

Python

SQL

Informatica workflows

Tools

SQLAlchemy

cx_Oracle

pyodbc

Job description

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

We are currently seeking a Senior Data Migration Engineer to join our team in Bangalore, Karnātaka (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

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

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