Key Responsibilities
- Design and build scalable data pipelines and ETL processes
- Develop and maintain data warehouses and analytics platforms
- Optimize queries and data models for performance
- Collaborate with data scientists and analysts to enable insights
- Ensure data quality, security, and compliance
Requirements
- 3+ years of experience in data engineering or analytics
- Proficiency in Python, SQL, and big data technologies (Spark, Hadoop)
- Experience with data warehousing (Snowflake, Redshift, BigQuery)
- Understanding of ETL tools and workflow orchestration
- Familiarity with cloud platforms (AWS, GCP, Azure)