Key Responsibilities:
Design, develop, and maintain scalable ETL/data pipelines
Lead cloud migration and optimization initiatives on Azure (ADF, Databricks, Synapse)
Develop and maintain enterprise data models and architecture frameworks
Ensure data quality, governance, and security compliance
Monitor data platform performance and troubleshoot issues
Collaborate with cross-functional teams and data governance stakeholders
Deliver optimized ETL pipelines for enterprise data warehouses
Prepare data for analytics, reporting, and business insights
Requirements & Qualifications:
Bachelor’s degree in Computer Science, Information Systems, or related field
5–10 years of experience in data engineering roles
Strong experience with enterprise data warehouses and ETL processes
Proficiency with Azure Data Factory, Databricks, Microsoft Fabric
Experience with data virtualization tools (Denodo preferred)
Programming skills in SQL, T-SQL, Python, Java, or Scala
Knowledge of data modeling, governance, and quality frameworks
Familiarity with big data technologies such as Spark, Kafka, Hadoop
Microsoft DP-203 certification is a plus
Excellent collaboration, problem-solving, and analytical skills
Salary, Benefits & Career Growth
Salary: AED 19,000 per month