REQUIREMENTS:

• Strong analytical thinking and problem-solving skills
• Strong communication skillset – ability to translate technical details to business/non-technical stakeholders
• Extensive experience with SQL, T-SQL, and PL/SQL Language – including but not limited to ETL, merge, partition exchange, exception and error handling, and performance tuning
• Experience with Python/Pyspark mainly with Pandas, Numpy, and Pathlib
• Experience with Azure Fundamentals, particularly Azure Blob Storage (File Systems and AzCopy)
• Experience with Azure Data Services - Databricks and Data Factory
• Understand the operation of the ETL process, triggers, and scheduler
• Logging and handling different files e.g. JSON
• Experience with Git repository maintenance and DevOps concepts
• Familiarity with building, testing, and deploying process
• Nice to have: experience with Control-M (if no experience, required to learn on the job), experience with PySpark emphasis on PySpark and SQL function

• Provide expert service support as L3 specialist for the service.
• Identify, analyze, and develop solutions for complex incidents or problems raised by stakeholders and clients as needed.
• Analyze issues and develop tools and/or solutions that will help enable business continuity and mitigate business impact.
• Timely update assigned tasks, and provide responses and solutions within the agreed team’s timelines.
• Problem corrective action plan proposals.
• Deploying bug-fixes in managed applications.
• Participate in internal knowledge sharing, collaboration activities, and service improvement initiatives.
• Tasks may include incident or problem resolution, automation, change assessment, or implementation/deployment of change requests.