Data Engineer ID50062
San Francisco, United States
USD 148K-170K (estimate) Senior-level Full Time
Tasks
- Build AWS and on prem infrastructure with infrastructure as code
- Build data ingestion workflows from APIs
- Consult with stakeholders to define technical roadmaps
- Design and build scalable data lakehouses
- Design and build scalable data lakes
- Design and build scalable data warehouses
- Implement ETL and ELT pipelines
- Manage and optimize file formats for analytics
- Orchestrate data pipelines
- Support machine learning initiatives
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Remote work option
- Team activity budget
- Techtalks
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Spark | Avro | Cloud platform | Data Lake | Data Lakehouse | Data Warehouse | DuckDB | ELT | ETL | Google Cloud | Google Cloud Platform | Machine Learning | Medallion Architecture | NoSQL | ORC | Pandas | Parquet | Polars | PySpark | Python | SQL | Snowflake | Terraform | Web Services
Education
Roles
Regions
Countries
States
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