Data and Analytics Consultant

NTT DATA, Inc.; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

NTT DATA in Bengaluru, Karnataka is seeking a Senior Data Migration Engineer to design and implement Python-based EL pipelines, dbt transformations, and Airflow orchestration for a large-scale Informatica migration to a modern data stack.

This role requires deep expertise translating complex Informatica workflows into Python/dbt/Airflow, delivering production-grade output at enterprise scale within a global Delivery model.

Qualifications

• 5+ years of Informatica PowerCenter experience.
• 3+ years of dbt Core experience and modelling.
• Experience with Airflow DAG authoring and scheduling.
• 5+ years of Python development for ETL/batch processing.
• 5+ years of SQL experience with large data sets.
• Experience with Oracle Data Pump or SQL Server bulk movement.

Responsibilities

• Assess Informatica workflows and translate them into Python EL scripts and dbt models.
• Develop and maintain Python EL pipelines for high-volume data landing.
• Design dbt transformation models with best practices and testing.
• Create dbt tests and custom Python unit tests for data quality.
• Develop Airflow DAGs to orchestrate Python EL and dbt end-to-end.
• Contribute to GitLab CI/CD for dbt and Airflow deployments.
• Perform peer code reviews and resolve data discrepancies during SIT/UAT.
• Document technical runbooks and handover materials.

Skills

Informatica PowerCenter

dbt Core

Airflow

Python

SQL

Oracle Data Pump / BULK INSERT

Tools

SQLAlchemy

cx_Oracle

pyodbc

Job description

Select how often (in days) to receive an alert: Create Alert

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 and Analytics 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 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.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us .

This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .