Job Description

What you will do

  • Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards

  • Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed

  • Automate data processing of data from multiple data sources

  • Develop, deploy and version control code for data consumption, reuse for APIs

  • Employ machine learning techniques to create and sustain data structures

  • Perform root cause analysis on external and internal processes and data to identify opportunities for improvement, resolve data quality issues

  • Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria

  • Mentorship & Coaching Jr data engineers by providing guidance on best practices in coding, data modeling, and pipeline design. Etc. 

    • About You

    Skills and Qualifications
     

  • Minimum bachelor’s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience

  • Petroleum, Chemical, Mechanical, Civil/construction Engineering is acceptable given appropriate work experience

  • 5 or more years performing duties related to data engineering

  • Expert proficiency in at least one of these programming languages: Python(Must), NoSQL, SQL, R, and competent in source code management

  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management

  • Create data validation methods and data analysis tools 

    • Preferred Qualifications/ Experience

  • Excellent problem-solving skills and ability to learn through scattered resources

  • Automate routine tasks via scripts, code

  • Capacity to successfully manage a pipeline of duties with minimal supervision

  • Experience supporting and working with cross-functional teams in a dynamic environment

  • Modify existing reports, extracts, dashboards, and cubes as necessary

  • Commitment to operations integrity and ability to hold self and others accountable for results

  • Data Governance skills: Data Quality Management, Metadata Management, Data Lineage & Provenance, Master Data Management (MDM), Data Cataloging

  • Tools Experience with tools like Collibra, Alation, Azure Purview, Informatica, or Google. Data Catalog, Data Classification & Tagging

    • Your benefits




    An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: 

  • Competitive compensation 
  • Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits 
  • Retirement benefits 
  • Global networking & cross-functional opportunities
  • Annual vacations & holidays
  • Day care assistance program
  • Training and development program
  • Tuition assistance program
  • Workplace flexibility policy
  • Relocation program
  • Transportation facility

    • Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.


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