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
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
Min 2 years’ experience performing duties related to data engineering
Advance English level
Expert proficiency in at least one of these programming languages : Python, 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 resourcesAutomate routine tasks via scripts, codeCapacity to successfully manage a pipeline of duties with minimal supervisionExperience supporting and working with cross-functional teams in a dynamic environmentModify existing reports, extracts, dashboards, and cubes as necessaryCommitment to operations integrity and ability to hold self and others accountable for resultsData Governance skills : Data Quality Management, Metadata Management, Data Lineage & Provenance, Master Data Management (MDM), Data CatalogingTools Experience with tools like Collibra, Alation, Azure Purview, Informatica, or Google. Data Catalog, Data Classification & TaggingYour 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 compensationMedical plans, maternity leave and benefits, life, accidental death and dismemberment benefitsRetirement benefitsGlobal networking & cross-functional opportunitiesAnnual vacations & holidaysDay care assistance programTraining and development programTuition assistance programWorkplace flexibility policyRelocation programTransportation facilityPlease 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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