Job Summary

Data Design Engineer

  • Location:
    Spring , Texas
  • Contract Type:
  • Job reference:

Our client is a global leader within the oil and gas vertical.  They realize the value of smart individuals who are thinkers and doers, and they believe the work experience should be personally meaningful and impactful.  As a result, they are very concerned about and are constantly searching for ways to improve the overall health, well-being, and morale of the team.   It’s the underlying reason on why they are the best in the industry.
They have many large initiatives that are being kicked off this year and are looking for top technical talent!  The ideal candidates will be those who thrive in a collaborative, team-oriented environment and who enjoy helping develop and implement these new industry-leading solutions.
Data Design Engineer:
Primary functions: data architecture, data quality management, reference and master data management, data integration, data governance, database development and design
Primary Deliverables: Data architecture diagrams, logical and physical data models, data profiling reports and data audits, data definitions, data taxonomy and mapping, data or metadata management, data sourcing, data metrics, metadata, data lineage, ETL services, databases, reports
Activities: detailed data design and modeling, data audit, define rules, establish master data solutions, define hierarchies and affiliations, distribute reference and master data, profile|analyze| assess data quality, design data quality management procedures, establish data governance, work with developer teams to create data solutions for customer, clean and correct data quality defects, ETL scripting
Preferred candidate should:
• Demonstrate critical thinking, analytical skills, and employ judgment to offer thoughtful, concise input toward resolutions of problems.
• Be able to translate data requirements into business processes and reverse engineer business processes into data requirements
• Comprehension of DevOps and Agile development and application to data centric architecture and solutions
• Basic Project Management (agile & waterfall) and Business Process modeling
• Strong communication and interpersonal skills with strong English proficiency
• Leadership skills needed to successfully promote ideas, coordinate work activities, and plan deliverables within a project team.
• Minimum Bachelor’s Degree in Engineering Technology, Computer Science, or a related field with equivalent experience
• Competency in TOAD for Oracle, SQL Server Database, SAP HANA, and enterprise reporting tools (e.g., Tableau)
• Advanced competency in microservice architecture and functional programming in modern languages
• Experience in SAP tables, Hana, BODS, Tableau, Python AND/OR Salesforce is a plus.
Technical Competencies Technical Competencies:
• Advanced expert database handling languages (SQL and variants)
• Practical skill sets in BI and Data visualization tools
• Knowledge of other programming languages and ability to write code (e.g., VBA, python, XML, R)
• Expert in data modeling (physical and logical), ER diagrams, data dictionary, data map, normalize/denormalize, agile data modeling
• Expert in data manipulation tools such as: SSMS, SSIS, TOAD, Access, Excel, Info Steward, Data Services
• Working knowledge of SAP

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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