Datamart Engineer

Role Summary

We are seeking two experienced Oracle Developersto support a missioncritical enterprise data platform that underpins revenue reporting sales credit analytics and downstream integrations. These roles will focus on handson development data transformation performance optimization and operational supportwithin an established Oracle/SAS ecosystem.

The ideal candidates are strong individual contributors who are comfortable working in complex rulesdriven environments and partnering closely with senior engineers data analysts and business stakeholders.

Key Responsibilities

Core Development & Data Engineering

• Design develop and maintain Oracle SQL and PL/SQLcode supporting largescale data transformations and reporting pipelines.
• Build and enhance views packages procedures and data validation logic aligned with business rules and audit requirements.
• Assist with schema evolution table refactoring and controlled deprecation of legacy objects.

Data Quality Stability & Audit Support

• Support data integrity reconciliation and historical traceability requirements.
• Diagnose and remediate data quality issues surfaced by downstream consumers (Finance Sales Ops Analytics).
• Participate in audit support documentation and reproducibility of historical results.

Integration & Upstream Change Management

• Adapt Oracle logic to upstream data changes from platforms such as PDH EDW and thirdparty data sources (e.g. D&B).
• Help implement defensive logic and validation when upstream data is incomplete or inconsistent.
• Partner with senior team members to stabilize integrations during release cycles.

Production & Release Support

• Support monthly release activities including validation troubleshooting and postdeployment fixes.
• Investigate job failures performance issues and production defects.
• Contribute to operational improvements to reduce rework and technical debt.

Required Qualifications

• Strong expertise in:
• Oracle SQL and VSCode
• Complex joins analytic functions and performance tuning
• Packages procedures functions and views
• Designing supporting and optimizing relational databases ( preferably Oracle SQL Server or Exadata)
• Experience working with large complex relational datasets
• Ability to understand and implement business rules embedded in data logic
• Experience supporting production data environmentswith regular release cycles
• Clear communication skills and comfort collaborating with crossfunctional teams

Preferred / NicetoHave Qualifications

• Experience working alongside SASbased data processing or analytics platforms
• Experience with Java JPA Entity-relationships and Mapping annotations
• Exposure to:
• Revenue pipeline sales credit or financial reporting data
• Audit or compliancedriven data environments
• Familiarity with:
• Git/GitHub or source control best practices
• Data lineage historical tracking or slowly changing dimensions
• Experience refactoring or modernizing legacy Oracle codebases
• Experience with AI Chats and agents ( ex. copilot)
• Experience with LLMs ( ex. Gemini Grok Claude ChatGPT)
• Experience with MCPs from Oracle Atlassian GitHub etc.

What Success Looks Like in This Role

• You quickly become productive in an established Oracle codebase.
• You reduce strain on senior engineers by owning welldefined development and support tasks.
• You help improve stability performance and data confidencewithout needing to redesign the platform.
• You collaborate effectively ask the right questions and deliver reliable solutions in a complex environment.

Team & Environment

• Part of a Business Data & Analyticsorganization supporting multiple enterprise stakeholders.
• Highly collaborative environment working with data engineers analysts and business partners.
• Focus on data accuracy auditability and reliability over rapid greenfield development.