Key Duties & Responsibilities:
- Data processing (ETL) using MSSQL, DataLake (Azure Databricks), Python, Scala, GitHub with T-SQL stored procedures, views, and other various database objects; import and export processing; data conversions; business process workflows and metrics reporting.
- Providing client support services and enhancements.
- Controlling daily ticket resolution/prioritization as client and user volume increases.
- Prioritizing issues based on client expectations, volume of current tickets, and visibility of issues across the enterprise.
- Analyzing the overall enterprise environment to find gaps and can think outside-of-the-box in order to design and create functionality which will prove to be of value.
- Provide DataLake (Databricks), Python, SQL, Scala training to other technicians.
- Drive ticket resolution momentum and provide feedback to US Leadership where staff improvements can be made in order to better overall productivity of the technicians.
- Manage DataLake (Databricks), Python, Scala, SQL database objects (stored procedures, views, synonyms, tables and overall schema), reporting, and administration.
Key Competencies:-
- Takes full responsibility for meeting the clients level of satisfaction.
- Prioritizes work and sets realistic deadlines to ensure that important tasks are achieved on or ahead of time, with quality results.
- Shares own expertise with team members, while remaining open to others ideas.
- Feels comfortable working in a changing environment.
- Identify area of process improvement and automation
- Finds flexible and rapid solutions to meet the clients needs.
- Takes controlled risks, seeking support from team members when unsure.
- Help team members with your expertise to archive common goal.
