Data Scientist
Tasks
- Build production data pipelines
- Containerize and deploy data applications in cloud
- Debug data quality issues pipeline failures and performance bottlenecks
- Design optimized SQL solutions
- Develop ETL/ELT workflows
- Develop Python data applications
- Implement data security privacy governance compliance
- Maintain version control and CI CD for pipelines
- Orchestrate workflows with Airflow and Step Functions
- Perform SQL query optimization
- Use Apache Spark and PySpark for distributed processing
Perks/Benefits
- 401k match
- Employer Covered Disability Insurance
- Employer-covered health insurance
- Employer-covered life insurance
- Paid government holidays
- Paid time off
- Training budget
Skills/Tech-stack
AWS Lambda | AWS S3 | AWS Step Functions | Airflow | Apache Iceberg | Apache Ranger | Apache Spark | Apache Superset | Bash | CI/CD | CloudFormation | Data Lineage | Docker | ELT | ETL | Git | JavaScript | Linux | MySQL | NumPy | OpenLineage | Pandas | Podman | PostgreSQL | PySpark | Python | SQL | Step Functions | Terraform | Testing | Trino | Unity Catalog
Education
N/A
Roles
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