Data Engineer
Rebirth Finance · Istanbul, Türkiye ·
- Work mode
- Onsite
- Category
- Data engineering
Build and maintain ETL pipelines in AWS using SQL and Python to transform financial data for analytics and business tools.
You discover, analyze, and assemble complex data sets, build ETL pipelines with SQL and Python in AWS, develop data tools for business departments, and maintain and optimize data models and architecture.
Responsibilities
- Discover, analyze, and assemble large complex data sets
- Build ETL pipelines using SQL and Python in AWS
- Develop data tools for business departments
- Maintain and optimize data models and architecture
- Build processes for data transformation, data structures, metadata, dependency management, and workload management
- Support cross-functional teams
Requirements
- Experience with Postgres or Redshift
- Experience with Python
- Experience with AWS S3, Athena, Redshift, and Glue
- Experience building, optimizing, and supporting big data pipelines, architectures, and data sets
- Experience with data transformation, data structures, metadata, dependency management, and workload management
- Experience supporting cross-functional teams
Benefits
- Bonuses
- Flexible and remote working options
- Free assorted healthy snacks and fresh fruits in the office
- Weekly gourmet breakfast meet-ups
- Regular team events and parties