RQ11222 - DataOps/Cloud Data Engineer - Senior

Must haves: Expert experience with Microsoft Azure technologies, including Azure pipeline, DACPAC, storage account, disk, file share, Azure key vault, Azure portal, virtual machine, Azure DevOps, Data Lake, Data Lakehouse, Azure monitoring tools.

Experience and Skill Set Requirements

Evaluation Table

Cloud DataOPS 40%

• Expert experience with Microsoft Azure technologies, including Azure pipeline, DACPAC, storage account, disk, file share, Azure key vault, Azure portal, virtual machine, Azure DevOps, Data Lake, Data Lakehouse, Azure monitoring tools.
• Experience with Cloud data platforms, data management and data exchange tools and technologies.
• Experience with Data pipeline and workflow development, orchestration, deployment, and automation.
• Experience in DataOPS principle, best practice, and implementation and Agile project development and deployment.
• Experience in Continuous Integration/Continuous Development/Deployment (CI/CD) and Data provisioning Automation.
• Experience with digital product, data analysis, data exchange, data provisioning, and data security.
• Experience with structured, semi-structured, unstructured data collection, ingestion, provisioning and exchange technological development.
• Experience with DataOPS performance monitoring and tuning.

Database Management 40%

• Expert data/database administration experience, e.g., Microsoft Azure SQL database and Synapse database, Oracle, IMS, DB2, etc.
• Extensive experience with SQL Server Stored Procedure, Oracle PL/SQL, PL/1 development and performance tuning.

Data Replication Pipelines 20%

• Experience with Azure SQL, Oracle, IMS/DB2 data replication.

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Originally posted on Himalayas