Description

You will lead data engineering efforts within an Azure cloud environment, owning the design and implementation of ETL/ELT processes for data movement and transformation.

This role is on-site.

Responsibilities

• Develop and maintain data pipelines using Azure Data Factory and Spark.
• Write and optimize complex SQL queries for efficient data processing.
• Apply data governance principles across all data workflows to ensure compliance and quality.
• Integrate data sources using Azure integration tools to support business intelligence needs.

Required Skills

• 4+ years of professional data engineering experience.
• Hands-on experience with Azure Synapse Analytics.
• Proficiency in Python for data engineering tasks.
• Strong knowledge of Apache Spark for distributed data processing.
• Experience with Azure Data Factory (ADF) and related integration tools.
• Deep understanding of ETL and ELT methodologies.
• Advanced SQL querying skills.
• Solid grasp of Data Governance frameworks.

Preferred Skills

• Bachelor's degree in any field.

Key Skills

Education

Any Graduate