Description

You will design, build, and operate large-scale data pipelines on Azure to support analytics and AI/ML workloads.

This role is on-site.

Responsibilities

• Design and maintain ETL/ELT pipelines using Azure Synapse Analytics (Spark pools) and Azure Data Factory.
• Develop and optimize PySpark code, including DataFrames, joins, aggregations, window functions, and partitioning strategies.
• Implement and maintain CI/CD pipelines for data and analytics solutions.
• Ensure data reliability, performance tuning, scalability, and operational stability across Azure platforms.
• Support analytics, reporting, and AI/ML workloads in production environments.

Required Skills

• 8+ years of experience in data engineering, analytics engineering, or AI/ML engineering.
• Strong hands-on experience with Microsoft Azure, specifically Azure Synapse Analytics, Azure Data Factory, and Azure Storage.
• Advanced proficiency in PySpark for large-scale data processing.
• Solid experience with SQL and data modeling.
• Working knowledge of C# and Core .NET technologies.
• Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field.

Key Skills

Education

Any Graduate