Data Engineering
INR 1500K-2000K (estimate) Mid-level Full Time
Tasks
- Build stored procedures
- Contribute to data governance
- Create non relational databases
- Create relational databases
- Define technical requirements with stakeholders
- Design data warehouse solutions
- Develop data infrastructure
- Follow data security and privacy standards
- Implement data lake solutions
- Improve data infrastructure continuously
- Ingest data from external sources
- Ingest data from internal sources
- Maintain Azure Data Factory pipelines
- Maintain data documentation
- Manage metadata and lineage
- Monitor data pipelines daily
- Operate data pipelines daily
- Optimize SQL queries
- Resolve data pipeline failures
- Transform and orchestrate data
- Triage data issues
- Validate data quality
- Write SQL queries
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure DevOps | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Batch Processing | CI/CD | DAX | Data Factory | Data Governance | Data Lake | Data Lineage | Data Quality | Data Security | Data Warehousing | ELT | ETL | Git | GitHub | MySQL | Near-real-time | Near-real-time Processing | PostgreSQL | Power BI | PySpark | Python | Real-time Processing | SQL | SQL Database | SQL Server | Synapse Analytics | Time processing
Education
N/A
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