Data QA Engineer
We are looking for a detail-oriented engineer with strong SQL and Data management experience to work with our analytics and data science back-end. This role will include verifying data integrity, deduplication, aggregated metrics. Building QA and validation processes for datasets and algorithms. The ideal candidate will have the ability to take ownership of daily data ingests from client and help building validation around it. Collaborate with the data science and ops teams.
Requirements
Strong SQL, MySQL or PostgreSQL
Experience writing scripts in Python
Should be comfortable working with big datasets
Experience validating data in text or CSV data formats
Attention to details and self organization
Nice to have
Experience with AWS S3
Background in science or engineering
Experience with a scheduler such as AirFlow or Jenkins
Big Data technologies: Redshift, Redshift Spectrum, Spark, Hadoop
Workload: Half-time or Full-time
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