Description

You will design, implement, and maintain database objects and security while managing large-scale data integration across multiple platforms.

Responsibilities

• Translate business requirements into data analysis, mapping, and flow diagrams.
• Develop data integration routines to move, cleanse, and transform large volumes of data.
• Design and maintain database objects including tables, views, and indexes.
• Lead small teams of junior developers in ETL design, error handling, and configuration.
• Optimize batch processing through parallelization and performance tuning.
• Troubleshoot performance issues and investigate anomalous behavior in Azure environments.
• Provide on-call support to ensure 24/7 application availability.

Required Skills

• 7+ years of experience in data warehousing and business intelligence.
• 5+ years of experience with Microsoft SQL Server and T-SQL expertise.
• 5+ years of experience with SSIS and stored procedures.
• 3-5 years of experience with Azure Data Factory, SQL VMs, and ETL development.
• Proficiency in SQL, T-SQL, Oracle, and SQL Server.
• Experience with Azure Cloud, Azure Data Studio, and Azure Analytics Studio.
• Experience using GitHub and CI/CD pipelines.
• Strong knowledge of conceptual, logical, and physical data modeling.
• Experience building data lakes by aggregating data from internal and external sources.

Preferred Skills

• 1-2 years of experience with Azure Synapse.
• 1-2 years of experience using Python, PySpark, and SparkSQL on Azure Cloud.

Key Skills

Education

Any Graduate