Data Engineer
USD 77K-134K (estimate) Mid-level Full Time
Tasks
- Assist with database upgrades and migrations
- Automate data loads with scripts and jobs
- Collaborate on data initiatives
- Design and build scalable data pipelines
- Develop and maintain data pipelines and workflows
- Ensure data quality at scale
- Identify opportunities for automation and process optimization
- Implement data processing and ensure data integrity
- Maintain high availability and reliability
- Optimize data workflows for performance
- Participate in Agile ceremonies and backlog refinement
- Perform query optimization with execution plan analysis indexing and partitioning
- Support Power BI reporting and analytics
- Support data governance and metadata management
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Warehousing | Databricks | ETL | Execution Plan | Execution Plan Analysis | Indexing | JSON | Kanban | Partitioning | Plan analysis | Power BI | PySpark | Query Optimization | SAFe | SQL | SSIS | Scrum | Stored Procedures | Synapse Analytics | XML
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Engineering Technology | Bachelor of Science
Roles
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