Data Engineer
Tasks
- Apply data governance
- Apply data security and privacy controls
- Build ETL/ELT frameworks
- Build data pipelines
- Build data products
- Design data pipelines
- Develop ingestion workflows
- Develop orchestration workflows
- Develop transformation workflows
- Implement data quality checks
- Implement monitoring and observability
- Maintain data pipelines
- Monitor data platform performance
- Optimize data pipelines
- Optimize data platform cost and performance
- Partner with data scientists and analysts
- Prepare analytics datasets
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Azure Fabric | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Ingestion | Data Lake | Data Modeling | Data Monitoring | Data Privacy | Data Quality | Data Security | Data Transformation | Data orchestration | Data pipeline | Data pipeline automation | Database Modeling | Databricks SQL | Delta Lake | ELT | ETL | Infrastructure as Code | Microsoft Azure | Observability | Pipeline Automation | Power BI | PySpark | Python | Query Optimization | Relational Database | Relational database modeling | SQL | Schema Design | Synapse Analytics | “as-code”
Education
Associate Degree | Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | PhD
Roles
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