Senior Data Quality yst-HYBRID

Job Title: Senior Data Quality Analyst

Location: Irving TX (3 days onsite Hybrid)

Duration: 12 months

Job Summary:

• 5 years Working experiences with Starburst/TRINO Impala Hive SparkSQL.
  
• Good knowledge with hadoop environment and distribution system.
  
• Strong data analysis data evaluation and problemsolving 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.
  
• Domain knowledge of data quality/data entitlement is a plus.
  
• Agile experience.
  

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.
  
• Adhoc 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.
  

Job Title: Senior Data Quality Analyst Location: Irving, TX (3 days onsite Hybrid) Duration: 12 months Job Summary: 5+ 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. Domain knowledge of data quality/data entitlement is a plus. Agile experience. 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.