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Data Engineer

Location: 

Curitiba, PR, BR

Company:  ExxonMobil

Job Role Summary

 

Role is responsible for helping business sustain data quality and provide business data team technical guidance around data profiling, stewardship reports and workflows for remediation; Responsible for the day-to-day management of the technical data processes (e.g., technical metadata/master data mgmt) for manufacturing data objects.  Helps guide and align organization around overall data strategy and data architecture principles.

Job Role Responsibilities


• Design and implement system specific data models (physical) with input from Solution/System Data Architect
• Identify source data systems & interfaces needed; help design and implement data components for interfaces (including APIs) in collaboration with Program Team System Architects
• Provide detailed data analysis for harmonization and contextualization of disparate data sets
• Provide input into business data glossary / data catalog (EBX/Collibra/Data Dash) and logical data models (ER Studio); help maintain and steward technical metadata
• Provide input to address data quality issues and provide technical data quality remediation plans for systems (in partnership with Business Data Stewards)
• Maintain technical configuration / ingestion processes for foundational data / master data platform (EBX & related components)
• Ensure alignment of business data objects in application portfolio repository (CARTA) and help maintain system information flows (e.g. Data flows to Process & Apps)

Expected Level of Proficiency

 

Required Advanced Level of Technical Competencies:
• Creating or editing new database models (physical and logical) using ER/Studio diagrams.  Designing and creating databases, data dictionaries, data maps using normalized/de-normalized data
• Data manipulation tools such as: SSMS, SSIS, TOAD, Access, Excel
• Advanced database handling languages (SQL and variants)
• Experience in Data Architecture specifically creating new databases, data lakes, data warehouses, etc.

Preferred (Beginner to Expert) Technical Competencies:
Competencies in one or more of the following areas:
• Experience In Data Governance & Management Concepts (MDM, Data Quality)
• Data mapping and profiling
• Knowledge of programming languages and some ability to write code (e.g., python, VBA, XML, R)
• API Development (Mulesoft)
• SAP Business Object Data Services (BODS)
• Practical understanding of BI and Data visualization tools (Tableau)

Preferred Candidate should have:
• Strong communication and interpersonal skills with strong English proficiency
• 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
• Minimum Bachelor’s Degree in Engineering Technology, Computer Science, or a related field with equivalent experience

 

 


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