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Data Quality Engineer

Salary undisclosed

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Job Title: Data Quality Engineer


Location: Irving, TX 75039 (hybrid model)


Duration: 12-month contract



Responsibilities:



  • This role is responsible for the delivery of Data Quality rules which includes:

  • Code & development & enhance SQL Queries.

  • Release the SQL to UAT testing and Prod; Job scheduling and running.

  • Production support - job monitoring and SQL error debugging.

  • Ad_hoc python script creation.

  • Hosting meetings and present tech demos.

  • Discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions.

  • Assisting and support analyst team on technical solutions.

  • Understands the SQLs syntax/functions across different analytic engine/platform, responsible to convert Starburst/impala SQL to SparkSQL by referring spark documents and provide optimal query.

  • Works with team members to ensure efforts within owned tracks of work will meet their needs.

  • Communication and documentation.


Required Skills



  • 5-7+ years Working experiences with Starburst/TRINO, Impala, Hive, SparkSQL.

  • Good knowledge with hadoop environment and distribution system.

  • Strong data analysis, data evaluation and problem-solving skills

  • Proficiency in SQL and debugging is crucial.

  • Experiences with writing Python, Pyspark

  • Identify and troubleshoot data issues and provide timely resolution.

  • Great communication skills to explain technical to non tech team member.

  • Great skills to understand business requirement and convert into tech requirement with action steps.


Plusses:



  • Domain knowledge of data quality/data entitlement is a plus.


Education:



  • Bachelor s/University degree or equivalent experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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