Data Governance Engineer

In this position, you will be responsible for practical implementation of data governance policies. You will be a subject matter expert who assist with managing and maintaining data, enforcing data quality, resolving data-related issues, ensure compliance with regulations. Primary conduit between the business, information management, information technology and engineering organizations.

• Help define data, create data dictionaries, and ensure the organizations metadata is well-maintained.
• Derive solutions and make recommendations from deep dive data analysis.
• Facilitate metadata discovery and data cataloging efforts
• Develop and maintain data governance policies and procedures.
• Analyze the impact of downstream systems and products
• Analyze reference datasets and familiarize with Master Data Management (MDM) tools.
• Develop and maintain data mapping specifications based on the results of data analysis and functional requirements
• Build technical data dictionaries and support business glossaries to analyze the datasets
• Perform data profiling and data analysis for source systems, manually maintained data, machine generated data and target data repositories
• Perform a variety of data loads & data transformations using multiple tools and technologies.
• Design and build Data Quality (DQ) rules needed

• Experience with Engineering, Procure and Construct Companies
• Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL
• Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas.
• Bachelor's Degree in Computer Science or Library Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years
• Exposure with data management tools such as data catalogs, metadata management tools and databases
• US Citizenship required
• Experience with multiple Data Domains
• Certification in data management or related areas (e.g. DMP, DM-BOK, etc.)
• Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
• Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
• Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Informatica, Alation, Collibra, TAMR etc.)
• Leadership Skills: Ability to work effectively with multi-disciplinary teams (e.g., UX, GE Business teams) and understand the inter-dependencies between them.
• Experience with CFIHOS
• Demonstrate the presentation and influencing skills

• Pay range: $60.00- $90.00 per hour/ W2. Please note, this contract does not include benefits.