SSIS and Azure Data Engineer
INR 1500K-2800K (estimate) Senior-level Full Time
Tasks
- Build enterprise data warehouses
- Collaborate with stakeholders to resolve data issues
- Conduct monitoring automation and optimization for BI solutions
- Define document metrics and reporting requirements
- Design deliver cubes dashboards and self service BI solutions
- Design, develop, and deploy data pipelines
- Develop SQL Server ETL using SSIS
- Implement cloud migration for data platforms
- Implement data warehousing data marts and ETL
- Maintain documentation, standards, and best practices
- Perform data modeling data management and data quality
- Provide technical leadership and mentor engineers
- Transform and move data in Azure
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Azure Data | Azure Data Factory | Azure Databricks | Azure Synapse | Azure Synapse Analytics | BI cubes | Business Intelligence | C# | Continuous Deployment | Continuous integration | Dashboards | Data Compression | Data Factory | Data Ingestion | Data Management | Data Mart | Data Modeling | Data Quality | Data Warehousing | Data encryption | Data profiling | Databricks | ELT | ETL | HBase | Hive | Kimball methodology | Lean | MPP databases | Master Data | Master Data Management | Metadata Management | Micro Batching | MySQL | NoSQL | Oracle | Pig | Python | SDLC | SQL Server | SSIS | Self-Service | Self-Service BI | Snowflake | Spark | Streaming Data | Streaming data ingestion | Synapse Analytics | T-SQL | Table Partitioning
Education
N/A
Roles
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