Job Description

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 Title: Data Quality Analyst (Big Data, SQL)
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 Location: Irving, TX - onsite 3 days/week
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 Duration: 1 year
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 <strong>
  Qualifications
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 5+ years Working experiences with
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  Starburst/TRINO, Impala, Hive, SparkSQL.
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   Good knowledge with hadoop environment and distribution system.
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   Strong data analysis, data evaluation and problem-solving skills
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   Proficiency in SQL and debugging is crucial.
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   Experiences with writing Python, Pyspark
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   Identify and troubleshoot data issues and provide timely resolution.
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   Great communication skills to explain technical to non tech team member.
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   Great skills to understand business requirement and convert into tech requirement with action steps.
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   Domain knowledge of data quality/data entitlement is a plus.
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   Agile experience.
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  Responsibilities
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 This role is responsible for the delivery of
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  Data Quality rules
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 which includes:
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 <ul>
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   Code &amp; development &amp; enhance SQL Queries.
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   Release the SQL to UAT testing and Prod; Job scheduling and running.
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   Production support - job monitoring and SQL error debugging.
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   Ad_hoc python script creation.
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   Hosting meetings and present tech demos.
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   Discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions.
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   Assisting and support analyst team on technical solutions.
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   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.
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   Works with team members to ensure efforts within owned tracks of work will meet their needs.
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   Communication and documentation.
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 </ul>
 <strong>
  24-03209
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