Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes
- Develop and optimize SQL queries for large datasets
- Implement data warehousing solutions using modern tools
- Collaborate with data scientists and analysts to enable insights
- Ensure data quality, integrity, and security across systems
- Monitor and troubleshoot data pipeline performance
Requirements
- 3-5 years of experience in data engineering or related fields
- Proficiency in Python, SQL, and big data technologies (Spark, Hadoop)
- Experience with data warehousing and ETL tools (Airflow, dbt)
- Familiarity with cloud data platforms (BigQuery, Snowflake)
- Strong understanding of data modeling and schema design