Senior Data Engineer
Tasks
- Build RAG pipelines for qualitative search
- Build multi tenant data lake pipelines
- Build profile enrichment pipeline
- Create bulk data export pipelines
- Create provenance aware data models
- Design data lake and warehouse architecture
- Develop REST APIs
- Develop batch ingestion pipelines
- Implement data access layers for AI agents
- Implement data modeling for multi tenant analytical workloads
- Implement tenant isolated data architecture
- Manage data governance and cataloging
- Sync data from relational databases and cloud storage
Perks/Benefits
- 401k company match
- Comprehensive health coverage
- Equity purchase option
- Flexible work schedule
- Generous time off
- Internet and phone stipend
- Monthly Recharge Days
- Paid parental leave
- Pet-friendly office
- Wellness perks
Skills/Tech-stack
AWS Glue | Amazon Athena | Amazon Bedrock | Amazon OpenSearch | Amazon S3 | Apache Iceberg | Apache Spark | DBT | Dagster | Data Governance | Data Modeling | Databricks | Databricks SQL | Databricks Workflows | Dbt Databricks adapter | Delta Lake | Delta Live Tables | Delta Live) | DynamoDB | Embedding pipelines | IAM | Multi-tenant | Multi-tenant architecture | PGVector | Prefect | PySpark | Python | RAG | REST APIs | SQL | Tenant architecture | Terraform | Unity Catalog | Vector Search
Education
N/A
Roles
Regions
Countries
States
Cities
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