Description

You will build and maintain scalable data pipelines for enterprise analytics.

Responsibilities

• Design, develop, and maintain ETL pipelines adhering to enterprise data architecture standards.
• Write advanced SQL queries for extracting, transforming, and analyzing structured and semi-structured data.
• Implement dynamic, metadata-driven data workflows using orchestration frameworks.
• Collaborate with architects and stakeholders to define data requirements and build solutions.
• Ensure data quality, consistency, and integrity across all data systems.

Required Skills

• 10+ years of experience in data engineering.
• Expert proficiency in SQL (including complex joins, window functions, and CTEs).
• Proven experience developing ETL pipelines using Informatica, Talend, or custom Python/Scala frameworks.
• Hands-on experience with ETL Pipelines.
• Working knowledge of data warehousing concepts and dimensional modeling.
• Experience with version control systems like Git and CI/CD for data jobs.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Proficiency in Python and Scala.
• Experience with Snowflake is required.

Key Skills

Education

Any Graduate