Data Engineer Senior Consultant

NTT DATA North America; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

NTT DATA North America in Bengaluru seeks a Senior Data Migration Engineer to drive Python-based EL pipelines, dbt transformations and Airflow orchestration for a large-scale Informatica PowerCenter migration.

You will convert complex Informatica workflows, land billions of rows into target warehouses using SQLAlchemy, cx_Oracle, and bulk tools, and contribute to CI/CD pipelines and testing in a global delivery model.

Qualifications

• 5+ years of Informatica PowerCenter experience (mappings, sessions, workflows)
• 5+ years of Python experience including parallelism and batch processing
• 5+ years of SQL experience with complex joins and window functions
• 3+ years of hands-on dbt Core experience (models, macros, tests, incremental)
• Any number of years of Airflow experience (DAGs, scheduling)
• Experience with Oracle Data Pump or SQL Server BCP/BULK INSERT for high-volume data movement

Responsibilities

• Assess 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 dbt transformation models with best practices and tests
• Develop dbt tests and Python unit tests for data quality
• Create Airflow DAGs to orchestrate Python EL and dbt end-to-end
• Contribute to GitLab CI/CD for dbt and Airflow code and deployments
• Perform peer code reviews and troubleshoot SIT/UAT data discrepancies
• Prepare runbooks and technical documentation

Skills

Informatica PowerCenter

Python

SQL

Airflow

Tools

dbt Core

Oracle Data Pump

SQL Server BCP

Job description

Job Description:

Req ID: 379774

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 Data Engineer Senior Consultant to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Role Overview

• 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.

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
• Any number of 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 worlds 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.

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