Senior Data Engineer

Job Summary

A company is looking for a Sr. Data Engineer.

Key Responsibilities

• Architect, design, and develop scalable data pipelines, data lakes, and data warehouses to support analytics and product intelligence
• Lead the design of ETL/ELT frameworks and data models for reporting and data-driven applications
• Build and optimize workflows using PySpark, Python, and SQL for large-scale data processing

Required Qualifications

• 7+ years of experience in data engineering, data warehousing, or OLAP environments
• 5+ years of SQL experience, including performance tuning and query optimization
• 4+ years of Python or PySpark development for data pipelines and transformations
• 3+ years of experience with AWS Glue, Airflow, EMR, or similar orchestration tools
• Strong experience in AWS Data Services and distributed data processing frameworks