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