Data Engineer
saven
Job Description
- Design, develop, and optimize scalable data pipelines and ETL workflows.
- Build and manage data models using DBT and integrate datasets for analytics and reporting.
- Work with Snowflake to write efficient SQL queries and manage data warehousing activities.
- Develop distributed data processing solutions using PySpark on Databricks.
- Implement data ingestion frameworks using Python, APIs, and AWS services.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality, reliability, and performance across pipelines.
- Deploy and maintain data workflows using CI/CD and version control best practices.