Description

You will design, build, and operate analytics solutions using Azure cloud and serverless technologies.

Responsibilities

• Develop analytics pipelines using Azure Data Factory, Azure Synapse, Data Bricks, and Azure Data Explorer.
• Manage large volume data through profiling and structured data management practices.
• Implement CI/CD coding and security testing standards within Azure DevOps environments.
• Execute automated data-driven testing to ensure pipeline integrity.
• Integrate data workflows with Data Lake and Power BI for end-to-end analytics.

Required Skills

• 5+ years of experience in data engineering or analytics roles.
• Hands-on experience with Azure Data Lake, Data Factory, Azure Synapse, and Data Bricks.
• Proficiency in at least one scripting language: Python, Scala, or PowerShell.
• Strong knowledge of relational databases including SQL and Maria.
• Experience with non-relational databases such as NoSQL, MongoDB, or Cassandra.
• Working knowledge of Agile and DevOps methodologies applied to data projects.
• Experience building and operating serverless analytics solutions.
• Ability to handle large volume data and perform data profiling.

Key Skills

Education

Any Gradute