Description

You will design, build, and optimize end-to-end data pipelines on the Azure cloud platform.

This role is hybrid.

Responsibilities

• Design and implement scalable data ingestion and transformation pipelines using Azure services.
• Develop and optimize PySpark jobs in Databricks for large-scale batch processing.
• Build SQL-based data models, stored procedures, and performance-tuned queries for analytics.
• Orchestrate workflows and manage data movement using Azure Data Factory and Synapse.
• Implement data quality checks, monitoring, and troubleshooting for reliable execution.

Required Skills

• 6-10 years of experience in data engineering on Azure.
• Strong proficiency in Azure Data Factory and Azure Synapse.
• Hands-on experience with Databricks and Spark for data processing.
• Expertise in SQL for data modeling and optimization.
• Proficiency in Python for data transformation and automation.
• Experience with Azure data services and cloud data platforms.

Preferred Skills

• Experience with Power BI for building analytics datasets.
• Exposure to Machine Learning pipelines for ML-ready data delivery.

Bachelor's Degree in Computer Science or Master's Degree in Data Science.

Key Skills

Education

Any Graduate