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Senior Data Engineer
Akamai TechnologiesSenior Data Engineer architecting Oracle Cloud transformations for financial systems while integrating AI/ML into business processes for operational efficiency.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in architecting and integrating systems into Oracle Cloud, with a strong focus on AI/ML solutions to enhance business workflows and data quality initiatives. Proven ability to lead data engineering efforts and communicate complex technical concepts to finance stakeholders.
Highest-signal resume keywords
Oracle Cloud IntegrationAI/ML Solutions DevelopmentData Engineering ExperienceRDBMS ProficiencyBusiness Process Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureSQL ProficiencyEnterprise ReportingData Quality ManagementData Lifecycle Understanding
Soft Skills
Communication SkillsStakeholder Engagement
Tools & Technologies
TableauPower BIWorkdaySalesforce
Industry Keywords
Finance SystemsAccountingCustomer Revenue OperationsBusiness Finance
Tech Stack
Tools & technologiesCloudERPOracleRDBMSSQLTableau
About the role
Key responsibilities & impact- Partner with Finance leadership across Accounting, Customer Revenue Operations, and Business Finance to architect the migration and integration of systems into Oracle Cloud.
- Design and deploy AI/ML solutions to automate and optimize core business workflows, turning enterprise data into operational intelligence.
- Lead Data Quality initiatives to establish and enforce a "single source of truth."
- Understand business processes to lead the building and maintaining of an enterprise data catalog and empower self-service analytics.
- Act as the primary go-to expert and technical consultant for process changes and technical roadmaps within Finance systems.
- Do what you love!
Requirements
What you’ll need- Have a deep understanding of business processes and data lifecycles specifically within Finance (Accounting, Customer Revenue Operations, Business Finance) systems.
- Have 4+ years experience over all in data engineering field .
- Good understanding of data architecture and a proven track record leading cloud ERP transformations (Oracle Cloud, Workday, Salesforce).
- Good experience with RDBMS like Oracle, elite SQL skills, and creating enterprise reports using tools like Tableau or Power BI.
- Demonstrated experience utilizing AI/ML to gain measurable business process efficiencies.
- Good communication skills with the ability to translate complex technical roadmaps for business stakeholders in a flexible environment.
Benefits
Comp & perks- Your health
- Your finances
- Your family
- Your time at work
- Your time pursuing other endeavors