Data Engineer
LOCATION
The Woodlands, TX
DESCRIPTION
The Upstream Data Office has a mission to develop Upstream enterprise data products in support of the Upstream business strategies to treat data as an asset to maximize business value. The Data Architect will work closely with other Data Architects, IT Platform Architects, subject matter experts (SMEs), data engineers and developers to contribute to the design of data products and consult with Upstream projects to ensure data architecture is aligned with enterprise data principles and standards. The data architect will work with business contact in the Product Optimization team and focus on data within this domain.
Job Requirements
- Master’s or Bachelor’s degree in business, computer science, engineering, systems analysis or a related field
- Minimum 3 years of experience in data design/architecture and strong willingness to continue learning
- Minimum 3 years of experience in Upstream Oil and Gas – Production Optimization, Production Volumes, and Production Revenue Accounting
- Recent experience developing reference data architecture, data modeling (conceptual, logical, physical, and Type 2 Dimensional Modelling), data profiling, data quality analysis, building business data glossaries and data catalogs
- Knowledge regarding data governance and master/reference data management programs
- Experience using Snowflake, SQL query language and E/R Studio data modeling tool
- Able to design solutions around Role-Based Access (RBA)
- Experience working with agile delivery teams
- Effective planning, communication, collaboration and persuasion skills to drive needed change across the company
- Expert written and verbal communication skills; familiarity with SharePoint team sites to collaborate; self-starter, takes initiative and is able to work in a fast-paced environment
Preferred Skills & Experience
- Experience and knowledge of Upstream Oil & Gas Production Optimization, Production Volumes, and Production Revenue Accounting – business processes and business terms
- Experience with tools such as TAMR, Collibra, and ER Studio
- Understanding of large data store technologies (Data Lakes, Data Warehouse, Data Hubs, etc.) – Specifically Snowflake
- Experience with Type 2 Dimensional Modelling
- Knowledge of JSON, Python, GIT; understanding of API concepts and integration architecture
- Knowledge of TOGAF Framework and DAMA DMBoK v.2 desirable
- Knowledge and experience working with Role-based access
- Leadership: Strong interpersonal skills with ability to influence without direct authority; able to effectively interact with large and diverse user community
- Strong background in data, analytics, systems and tools: good working knowledge of OSDU, Graph, ADX, NoSQL and other modern data storage solutions and related data extraction tools
- Familiarity with Upstream Data, common workflows, and data sources / repositories
Contact: [email protected]