Description

You will build and maintain ETL pipelines using enterprise data architecture standards.

Responsibilities

• Design, develop, and maintain ETL pipelines using best practices.
• Write advanced SQL queries for extraction, transformation, and analysis of structured and semi-structured data.
• Manage Rhine-based pipelines to enable dynamic, metadata-driven data workflows.
• Collaborate with architects and stakeholders to implement data solutions and ensure integrity.
• Troubleshoot, optimize, and document data processes and production workflows.

Required Skills

• 5+ years of experience in data engineering.
• Strong SQL skills, including complex joins, window functions, CTEs, and performance tuning.
• Experience with ETL development using Informatica, Talend, DataStage, or custom Python/Scala frameworks.
• Hands-on experience using Rhine for metadata-driven pipeline orchestration.
• Knowledge of data warehousing concepts and dimensional modeling.
• Proficiency with version control tools like Git and CI/CD for data jobs.
• Bachelor's degree in Computer Science, Engineering, or Information Systems.
• Working knowledge of AWS, Azure, or GCP.
• Experience with SQL-based cloud data warehouses like Snowflake, Redshift, or BigQuery.

Key Skills

Education

Bachelor's degree in Computer Science, Engineering