Description

You will build and maintain scalable data pipelines and metadata-driven orchestration workflows.

Responsibilities

• Design, develop, and maintain ETL pipelines following enterprise data architecture standards.
• Write advanced SQL queries for extraction, transformation, and analysis of structured and semi-structured data.
• Manage Rhine-based pipelines to enable dynamic, metadata-driven workflows.
• Troubleshoot and resolve issues within data pipelines and production environments.
• Optimize data process performance and ensure data integrity across systems.

Required Skills

• 10+ years of experience in data engineering roles.
• Expert-level SQL skills, including complex joins, window functions, CTEs, and performance tuning.
• Proven experience in ETL development using Python, Scala, or tools like Informatica, Talend, or DataStage.
• Hands-on experience with Rhine or similar metadata-driven orchestration frameworks.
• Strong understanding of data warehousing concepts and dimensional modeling.
• Proficiency with version control (Git) and CI/CD for data jobs.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

Preferred Skills

• Experience with cloud platforms including AWS, Azure, or GCP.
• Hands-on work with Snowflake, Redshift, or BigQuery.

Key Skills

Education

Bachelor's degree