Full Job Description
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
Job Information
Job Category:
Other
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