Required Skills: Azure, Azure Data Factory, Azure Synapse, ETL, Spark, Python, Scala

Job Description

• A minimum of seven (7) years of experience managing large and complex database management systems;
• A minimum of seven (7) years of experience in Extract, Transform, Load (ETL) development and data engineering;
• A minimum of three (3) years of hands-on experience working with Azure Data Factory (ADF), Azure
• Databricks, Azure Synapse Analytics, and Azure Purview;
• Proven track record of building and optimizing large-scale ETL pipelines for high-performance, highavailability environments;
• Expertise in Spark, Python, or Scala for large-scale data transformations;
• Strong in Structured Query Language (SQL) proficiency and experience working with complex data structures;
• Comprehensive knowledge of data governance, security protocols, and Role-Based Access Control (RBAC) within the Azure ecosystem; and
• Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory standards.
• NOTE: In addition to the above list, the selected Candidates must successfully complete a Level II