DE&A - Core - Cloud Data Engineering - Azure Data Engineering
Pune, Maharashtra, India
INR 1500K-2000K (estimate) Mid-level Full Time
Tasks
- Build Azure Data Factory data flows
- Collaborate on data requirements
- Configure Azure Data Factory triggers
- Design ETL pipelines
- Design MongoDB schema
- Design scalable data solutions
- Develop Azure Data Factory pipelines
- Ensure data compliance
- Ensure data security
- Implement access controls
- Implement data governance best practices
- Implement data quality controls
- Manage MongoDB collections
- Manage metadata
- Monitor pipeline performance
- Optimize Azure compute costs
- Optimize Azure storage costs
- Optimize MongoDB indexing
- Process data using Azure Databricks
- Process data using Azure Functions
- Process data using Azure Synapse
- Troubleshoot pipeline failures
Perks/Benefits
- N/A
Skills/Tech-stack
Aggregation pipelines | Azure Blob | Azure Blob Storage | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Functions | Azure SQL | Azure Storage | Azure Synapse | Azure Synapse Analytics | Blob Storage | CI/CD | Cosmos DB | Data Factory | Data Lake Storage Gen2 | Data Lakehouse | Docker | ETL | Event Hubs | Indexing | Kafka | Kubernetes | MongoDB | Power BI | PySpark | Python | Query Optimization | SQL | Schema Design | Synapse Analytics
Education
N/A
Roles
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