Senior Data Engineer ID75059
Richmond, United States
R
USD 155K-170K (estimate) Senior-level Full Time
Tasks
- Build high performance data infrastructure on Snowflake and Spark
- Design and build data lakehouses
- Design and build data warehouses
- Design and build scalable data lakes
- Develop ingestion workflows from third-party APIs
- Gather requirements and translate business goals into data architecture roadmaps
- Implement Python ETL and ELT pipelines
- Manage and optimize Parquet Avro and ORC files
- Optimize data pipelines and troubleshoot data latency and consistency issues
- Orchestrate workflows with Airflow
- Use Terraform for AWS and on prem infrastructure
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Personalized growth roadmaps
- Remote and office options
- Team activity budget
- Techtalks
Skills/Tech-stack
AWS | AWS SageMaker | AWS SageMaker Studio | Apache Airflow | Apache Spark | Avro | Big Data | Data Architecture | Data pipeline | Data pipeline orchestration | DuckDB | ELT | ETL | Elasticsearch | Jupyter | Jupyter Notebook | Medallion Architecture | NoSQL | ORC | OpenSearch | Pandas | Parquet | Pipeline Orchestration | Polars | PySpark | Python | SQL | Sagemaker Studio | Scalable data architecture | Snowflake | Terraform | Third Party | Third-party API
Education
Roles
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