Senior Data Engineer
Tasks
- Build governed real time and batch data products
- Conduct exploratory data analysis
- Design and implement data processing pipelines
- Develop data models mappings and assets
- Develop semantic models and retrieval layers
- Educate teams on data platform patterns and tools
- Ensure data observability and operational resilience
- Implement test driven development for data reliability
- Implement vector and search capabilities
- Mentor team members and raise technical bar
- Orchestrate production data workflows
- Perform performance tuning and production troubleshooting
- Support Snowflake AI and Cortex features
Perks/Benefits
- 401k contribution
- Company holidays
- Employee discounts
- Financial counseling
- Life insurance
- Medical, dental, and vision insurance
- Paid time off
- Student loan refinancing
- Tuition reimbursement
Skills/Tech-stack
AI Pipelines | AWS | AWS Glue | AWS Lambda | Amazon Athena | Amazon DynamoDB | Amazon S3 | Apache Airflow | Apache Spark | Apache Spark SQL | Bash | CI/CD | Databricks | Databricks Runtime | Databricks Workflows | Delta Lake | Docker | GitHub Actions | GitLab CI | GitLab CI/CD | Jenkins | Kubernetes | Lakeflow Jobs | Machine Learning | Observability | Python | Retrieval | Scala | Search | Semantic models | Snowflake | Spark | Spark SQL | Test-Driven | Test-Driven Development | Unity Catalog | Vector Databases
Education
N/A
Roles
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