Description

You will design and build high-performing ETL processes to integrate and transform data across disparate sources.

Responsibilities

• Design and develop high-performing ETL processes to integrate and transform data across disparate sources.
• Build and manage complex ETL workflows that extract, transform, and load data for downstream analytics and reporting.
• Leverage the Azure ecosystem (ADF, Databricks, Synapse, Purview) to process high volumes of structured and unstructured data.
• Continuously optimize ETL jobs to minimize latency and maximize throughput.
• Partner with cross-functional teams to design and implement ETL solutions meeting evolving needs.

Required Skills

• 10+ years of experience in ETL development and data engineering.
• 5+ years working with ADF, Azure Cloud, Azure Databricks, Azure Synapse Analytics, and Azure Purview.
• Extensive expertise in Spark, Python, and/or Scala for large-scale data transformations.
• Strong SQL proficiency and experience working with complex data structures.
• Experience in Service-Oriented Architecture (SOA) and Microsoft Azure Cloud Solutions.
• In-depth knowledge of data governance, security protocols, and RBAC within Azure.
• Experience with large and complex database management systems.
• Azure Databricks Certification as a Data Engineer Associate is a must.
• Microsoft Office Certification as an Azure Data Engineer Associate, Azure Solutions Architect Expert, and Azure Fundamentals is a must.

Key Skills

Education

Any Graduate