Senior Data Engineer ID75059
Los Angeles, United States
USD 156K-190K (estimate) Senior-level Full Time
Tasks
- Build scalable data lakes warehouses and lakehouses
- Design and implement data engineering solutions
- Develop Python ETL and ELT pipelines
- Ingest data from third-party APIs
- Manage data storage using Parquet Avro and ORC
- Optimize SQL for data pipelines
- Optimize file formats for high-performance retrieval
- Orchestrate data workflows with Airflow
- Provision AWS and on prem infrastructure using Terraform
- Translate business goals into data architecture roadmaps
- Troubleshoot data latency and consistency issues
- Work with Snowflake and Spark for data processing
Perks/Benefits
- Flexible schedule
- Mentorship
- Office options
- Personalized growth roadmaps
- Professional growth
- Remote options
- Techtalks
Skills/Tech-stack
AWS | Airflow | Avro | Big Data | Columnar Storage | Data Lake | Data Warehouse | DuckDB | ELT | ETL | Elasticsearch | Jupyter | Lakehouse | Medallion Architecture | NoSQL | ORC | OpenSearch | Pandas | Parquet | Polars | PySpark | Python | SQL | Scala | Snowflake | Spark | Terraform | Third Party | Third-party API
Education
Roles
Regions
Countries
States
Cities
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