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2-4 Years
Not Disclosed
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  • Posted 27 days ago
  • Over 500 applicants have applied

Job Description

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.

More Info

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Key Skills

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