Senior Developer, Snowflake & Databricks
Tasks
- Build PySpark data transformations
- Build Snowflake ELT pipelines
- Configure Snowflake stages and file formats
- Create Snowflake streams and tasks
- Debug Azure Data Factory pipeline failures
- Design data pipelines with Azure Data Factory
- Develop Databricks notebooks
- Develop Snowflake SQL queries
- Document pipelines and data models
- Ensure governance security and compliance
- Implement Delta Lake tables
- Implement ETL ELT with Spark and SQL
- Implement Snowflake COPY and Snowpipe
- Implement Snowflake materialized views
- Integrate relational databases and APIs
- Load data from file systems and cloud platforms
- Manage Git based version control
- Optimize Databricks workflows and jobs
- Optimize Snowflake performance
- Troubleshoot Snowflake ingestion errors
- Troubleshoot Spark notebook failures
Perks/Benefits
Skills/Tech-stack
ADLS | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Warehousing | Databricks | Delta Lake | Git | GitHub Actions | Materialized views | PySpark | Python | RBAC | Snowflake | Snowflake SQL | Snowflake Streams | Snowflake Tasks | Snowpipe | Spark SQL | Synapse Analytics
Education
Roles
Data Engineer | Databricks Developer | Developer | Engineer | Snowflake Developer
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