Senior Data Engineer II
Tasks
- Architect data platforms
- Build MCP servers
- Build Spark and PySpark workflows
- Build data integration transformations
- Build ingestion workflows
- Create SQL and Python data transformations
- Define data engineering standards
- Design data API workflows
- Design semantic layer for analytics
- Develop batch and streaming processing
- Develop data pipelines
- Evaluate AI native tooling
- Implement data quality monitoring
- Integrate AI agent workflows
- Lead end-to-end projects
- Manage data APIs
- Mentor junior engineers
- Optimize spark performance
- Provide production support on call
- Tune partitioning and shuffle
Perks/Benefits
- Health insurance
- Health leave
- Parental leave
- Professional development stipend
- Remote work flexibility
Skills/Tech-stack
API Gateway | API Management | AWS | AWS API | AWS API Gateway | AWS Lambda | AWS RDS | Amazon S3 | Apache Iceberg | Apache Spark | Azure | Call Support | CloudWatch | DBT | Data Lakehouse | Data Modeling | Databricks | Datadog | ETL | FastAPI | Fivetran | Google Cloud | MS SQL | MS SQL Server | MySQL | Observability | On-Call | On-call support | Oracle | PostgreSQL | PySpark | Python | RDS Aurora | SQL | SQL Server | Splunk
Education
Roles
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