Data Engineer
Tasks
- Build data ingestion workflows
- Create technical documentation
- Design ETL/ELT pipelines
- Design data models for analytics
- Develop data transformation processes
- Ensure data governance, security, and compliance
- Establish data quality validation
- Implement incremental loading and CDC
- Ingest transform load data into Snowflake
- Manage Snowflake warehouse resources
- Monitor and optimize query performance
- Support automation and process improvement
- Troubleshoot pipeline failures
- Write and optimize SQL queries and Snowflake objects
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Auditing | Azure Data | Azure Data Factory | Caching | Change Data Capture | Clustering keys | Data Capture | Data Factory | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Validation | Data Warehousing | Data integration | Denormalized Data | Dimensional Modeling | ELT | ETL | Error Handling | Incremental loading | Materialized views | Normalized Data | Partition Pruning | Performance Monitoring | Python | Reconciliation | SQL | Security Compliance | Snowflake | Snowflake Schema | Star Schema | Stored Procedures | UDF | User Defined Functions | Views | Warehouse tuning
Education
N/A
Roles
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