Data Engineer I
Bengaluru, Karnataka, India
INR 1500K-2000K (estimate) Entry-level Full Time Found 5d ago
Tasks
- Automate pipeline execution with triggers and scheduling
- Collaborate with stakeholders to gather requirements
- Conduct knowledge transfer sessions
- Create modular and reusable data workflows
- Design and develop scalable data pipelines in Azure Data Factory
- Design data flows for complex transformation tasks
- Document pipeline design and best practices
- Ensure security and compliance in data solutions
- Implement data integration from diverse sources
- Implement incremental data loading strategies
- Integrate Azure services like Databricks, Logic Apps, and Key Vault
- Monitor and troubleshoot data pipelines
- Optimize data workflows for performance and scalability
- Participate in incident management and root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
ADF | ADLS Gen 2 | Automation | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen 2 | Azure Databricks | Azure Function | Azure Function Apps | Azure Key Vault | Azure Logic | Azure Logic Apps | Azure SQL | Azure SQL Database | Data Factory | Data Ingestion | Data Lake Storage Gen 2 | Data Pipelines | Data Privacy | Data Security | Data Transformation | ETL Processes | Function Apps | Git | Key Vault | Logic Apps | Monitoring | PySpark | Python | SQL Database | Troubleshooting
Education
Roles
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