Azure Data Engineer and SSIS
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Build Azure data pipelines with Azure Data Factory and Azure Databricks
- Build data movement and transformation pipelines
- Collaborate with business stakeholders to define metrics and reports
- Create and optimize enterprise data warehouses
- Design develop and deploy data warehousing solutions
- Design partitioning encryption and compression strategies
- Develop SQL Server ETL pipelines with SSIS
- Develop cubes dashboards and self service BI solutions
- Ensure adherence to documentation standards and best practices
- Implement Kimball data warehousing methodology
- Model and manage data for business intelligence
- Monitor automate and optimize reports and BI solutions
- Troubleshoot data issues and optimize queries
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Azure Data | Azure Data Factory | Azure Databricks | Azure Synapse | Azure Synapse Analytics | Batch streaming | Business Intelligence | C# | CI/CD | Continuous Deployment | Continuous integration | Cubing | Dashboards | Data Compression | Data Factory | Data Management | Data Mart | Data Modeling | Data Quality | Data Warehousing | Data pipeline | Data profiling | ELT | ETL | Encryption | HBase | Hive | Kimball methodology | Lean | MDM | MPP databases | Master Data | Master Data Management | Metadata Management | Micro Batch Streaming | Micro-batch | MySQL | NoSQL | Oracle | Partitioning | Pig | Python | SDLC | SQL | SQL Server | SSIS | Snowflake | Spark | Streaming Ingestion | Synapse Analytics | T-SQL
Education
N/A
Roles
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