Sr. Data Management Engineer

Summary

Data Management, Data Governance, Data quality activities, tools, and frameworks, with experience reporting on large amounts of data while Understanding the importance of meeting deliverables.

Requirements

• Experience implementing and using data management tools such as data quality, and business/technical metadata catalogs, with strong experience Implementing master data management tools and processes.
• Demonstrated experience with master data management projects, preferably company or person disambiguation.
• Ability to create datasets from a variety of disparate sources to further data governance initiatives and processes.
• Demonstrated experience in performing data mining on large datasets to supplement data governance quality improvement initiatives.
• Working knowledge of SQL and Python, relational and non-relational databases, database structures, and unstructured databases, and preferably graph and other NoSQL databases.
• Strong understanding of data quality frameworks within data lifecycle management.
• Demonstrated experience driving data quality initiatives and resolution.
• Demonstrated experience with process improvement, workflow, benchmarking and / or evaluation of business processes.
• Ability to write various documents such as functional requirements, data quality rules, and policy definitions.