Description

You will build and maintain scalable data storage solutions and schema layers within the Azure ecosystem.

This role is hybrid.

Responsibilities

• Develop and troubleshoot data pipelines using distributed frameworks like Apache Spark.
• Integrate data from core platforms into centralized data warehouses or data lakes.
• Design and implement ETL and streaming pipelines using Azure Data Factory and SQL.
• Maintain high code quality through automated testing and engineering best practices.
• Establish secure systems and access models for handling sensitive data.

Required Skills

• 5+ years of hands-on experience in Azure-based Data Engineering.
• Proficiency in Python or Java and their standard data processing libraries.
• Strong expertise in SQL and T-SQL.
• Experience with Azure Synapse and Azure Data Factory.
• Hands-on experience with PySpark and Apache Spark.
• Deep understanding of Data Warehousing and relational databases including Azure and RDS.
• Proven ability to architect shared datasets and extract technical requirements.
• Any Graduate degree.

Key Skills

Education

Any Gradute