Job Description
Insight Global's Pharmaceutical client is seeking a Data Quality Enginner to help build solutions for their Supply Chain Analytics Division. The DQE will be responsible for helping develop Data Quality and Governance standards for the Supply Chain Data Lake and Data Ingestion Pipelines. The team uses Snowflake/Airflow/Python/AWS from various store systems including SAP and other cloud based systems. This resource will be foundational in making quality assurance programs across data repositories, manage a semantic layer for data quality and code solutions related to data standardization, and governance.
Required Skills & Experience
5+ years' as a Data Engineer with recent focus in Data Qaulity
Experience in data governance, quality, cataloging, data dictionaries, and data onboarding
Experience with Python/PySpark
Experience with Data Quality tool (Collibra, Alation, Reltio, IDQ, etc,)
Strong communication and interpersonal skills
Supply chain data domain knowledge (Plan, Source, Make, Deliver)
Nice to Have Skills & Experience
Machine learning, text analysis, NLP & Web development experience is a plus
Knowledge of Graph Databases (Neo4j, Titan, etc.) and query syntax is a plus
Working knowledge of Biotech / Pharma experience is a plus
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.