Senior Data Engineer
Tasks
- Build Azure Data Factory pipelines to Azure Data Lake Storage Gen2
- Build ingestion pipelines with Snowpipe Streams Tasks
- Build monitoring and alerting frameworks
- Build secure data infrastructure with role based access
- Collaborate with BI, Analytics, and Data Science teams
- Configure secure integrations between Azure and Snowflake
- Create CI CD pipelines for dbt deployments
- Create dbt macros and packages
- Deliver end-to-end data engineering projects
- Design and implement Snowflake/dbt data models
- Develop dbt transformation workflows
- Document pipelines transformations and models
- Implement Medallion Architecture bronze to silver to gold
- Implement data masking and row column level security
- Implement data validation and quality checks
- Tune Snowflake queries and warehouses
- Write and optimize Python scripts
- Write and optimize SQL scripts
- Write test and deploy dbt models
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | CI/CD | DBT | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Quality | Data Validation | Data masking | GitHub Actions | Partitioning | Python | Query Optimization | Role-Based Access | Role-Based Access Control | SQL | Snowflake | Snowpipe | Streams | Tasks | Warehouse Management
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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