Description

Job Responsibilities include:

Design, develop, and execute comprehensive test plans and SQL-based source-to-target validation for data warehouse and ETL processes.

Develop and optimize ETL pipelines using Databricks, PySpark, Informatica, and Azure Data Factory.

Monitor ETL jobs, troubleshoot production issues, and ensure high performance, scalability, and reliability of data pipelines.

Perform ETL administration including job scheduling, releases, environment setup (DEV, QA, PROD), and access management.

Collaborate with cross-functional teams to implement data solutions and provide support for data integration and analytics initiatives.

Maintain documentation, generate reports on ETL health, and drive continuous improvement through automation and process optimization.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.

8–10 years of experience in Data Warehouse testing/development with strong ETL expertise.

Proven experience in Databricks, PySpark, Informatica, and advanced SQL for data validation and ETL processing.

Hands-on experience with Azure Cloud (Data Factory, DevOps) and strong knowledge of data warehouse and data mart concepts

Key Skills

Education

Any Graduate