Data & Analytics Principal Consultant

NTT DATA North America; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

NTT DATA North America is seeking a Data Engineering specialist to translate complex Informatica workflows into Python EL scripts and dbt models, and to build scalable pipelines in a modern data stack. You will design Airflow DAGs, develop tests, contribute to CI/CD, and collaborate across teams to land high-volume data into the warehouse, ensuring data quality and performance.

This role emphasizes hands-on coding, code reviews, and thorough documentation to support SIT/UAT phases and ongoing

Qualifications

• Translate Informatica workflows to Python EL scripts and dbt models.
• Build Python EL pipelines to land large data volumes into the warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools.
• Design dbt transformation models based on Informatica mappings with best practices.
• Develop dbt-native 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 pipelines for dbt and Airflow with lint gates and automated tests.
• Perform peer code reviews and provide technical feedback.
• Troubleshoot SIT/UAT data discrepancies and reconcile row counts between source/target systems.
• Document runbooks and handover materials.

Skills

Informatica

Python

Airflow

dbt

SQL

Tools

SQLAlchemy

cx_Oracle

pyodbc

Oracle Data Pump

SQL Server BCP

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.