Description

You will build and maintain scalable data pipelines and ETL processes to manage large datasets from multiple sources.

This role is remote.

Responsibilities

• Design and develop ETL processes and scalable data pipelines.
• Optimize SQL queries, stored procedures, and database schemas for performance.
• Develop and deploy SSIS packages for data integration and transformation.
• Implement data quality checks, monitoring, and alerting mechanisms.
• Collaborate with analysts and scientists to deliver data solutions.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in T-SQL, including dynamic queries, sub-queries, complex joins, triggers, and user-defined functions.
• Deep knowledge of stored procedure optimization, performance tuning, and index tuning.
• Proficiency in Python for data structures and task automation.
• Experience debugging and deploying SSIS packages from development to production.
• Hands-on experience with ETL workflows.
• Working knowledge of Agile, Scrum, or Waterfall methodologies.

Key Skills

Education

Any Graduate