Data Engineer
Tasks
- Build ETL/ELT workflows
- Build centralized data services and APIs
- Create logical data models
- Design cloud data ingestion pipelines
- Develop SQL objects and transformations
- Develop batch and near real time processing workflows
- Develop reusable data integration components
- Integrate data from APIs SaaS databases
- Modernize legacy data processes
- Monitor data pipelines troubleshoot issues
- Participate in code reviews testing documentation
- Prepare curated datasets for data lakes data warehouses
- Write Python code for data processing and orchestration
Perks/Benefits
- Annual discretionary bonuses
- Equal pay program
- Long-term incentive programs
- Medical insurance
- Mental health resources
- Physical health resources
- Retirement savings contributions
Skills/Tech-stack
API Integration | Apache Spark | Azure | Data Modeling | Data Pipeline Monitoring | Data orchestration | Data pipeline | Databricks | ELT | ETL | Pipeline monitoring | Power BI | Python | SQL | Snowflake | Tableau
Education
Roles
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