Senior Data Engineer (Oracle FDI Data Warehouse) at Tech9

Senior Data Engineer (Oracle FDI / Data Warehouse)About UsTech9 is shaking up a 20-year-old industry and were not slowing down. Recognized by Inc. 5000 as one of the nations fastest-growing companies we are dedicated to building innovative high-quality software and data solutions. Our team is passionate about craftsmanship collaboration and delivering technology that makes an impact. We offer a 100% remote working environment with a supportive culture that empowers you to do your best work.Role OverviewWe are seeking a Senior Data Engineer with deep expertise in Oracle and Fusion Data Intelligence (FDI) to support the Elevate Finance team as they enter the data warehouse build phase.The project has completed discovery and requirements gatheringnow it needs a highly technical hands-on engineer to design and build scalable pipelines and warehouse components within Oracles ecosystem. You will partner closely with the existing data engineer and project leadership to translate business requirements into data models reporting objects and production-ready data flows.This role requires someone who can operate independently ramp quickly and deliver high-quality engineering work within a fast-moving finance data environment.ResponsibilitiesData Pipeline Development: Design build and maintain data pipelines and warehouse components within the Oracle ecosystem.Oracle FDI Expertise: Develop support and optimize reporting in Oracle Fusion Data Intelligence including report creation when needed.Warehouse Build-Out: Enable the next phase of the Elevate Finance data warehouse ensuring scalability accuracy and alignment with business needs.Collaboration & Requirements Translation: Work closely with the Elevate data engineer and project leadership to translate requirements into data models and deliverables.Best Practices: Contribute to standards for data quality architecture performance and long-term maintainability.Problem Solving: Troubleshoot issues optimize data flows and ensure accuracy across financial datasets.Minimum QualificationsStrong expertise with Oracle FDI (Fusion Data Intelligence) core requirement.Experience developing or enabling reports in Oracle FDI major plus and highly preferred.3 years working with Databricks.3 years working in an Azure environment.Senior-level data engineering experience with a proven ability to design and build pipelines not just perform analysis or requirements gathering.Ability to operate independently learn fast and contribute meaningfully from day one.Strong communication and collaboration skills to work with cross-functional teams.Preferred QualificationsExperience with data architecture including conceptual logical or physical modeling.Background working in finance or ERP-related data environments.Familiarity with data quality frameworks or governance practices.Why Join UsHigh Impact: Play a key role in building a finance data warehouse from the ground up.Flexibility: 100% remote role based in LATAM with flexible hours.Collaboration: Work with a talented engineering team and directly influence architectural decisions.Growth: Deepen expertise in Oracles modern data ecosystem while contributing to a strategic enterprise initiative.Interview ProcessOur interview process is designed to move efficiently while ensuring transparency and alignment:1. Introductory Call 15 minutes -A brief conversation with our recruiting team to discuss your background data engineering experience and alignment with the role.2. On-Demand HireVue Screening 1530 minutes- Behavioral and situational questions focused on ownership communication data problem-solving and ability to work independently.3. Internal Technical Interview #1 1 hour- A deep technical discussion on Oracle FDI Oracle-based data engineering data modeling and end-to-end pipeline design.4. Internal Technical Interview #2 1 hour- Scenario-based evaluation focused on warehouse build-out scalability optimization and navigating ambiguity in finance data environments.5. Hiring Manager Interview 30 minutes- A conversation about your experience collaboration style and ability to drive engineering work with limited oversight.6. Client Interview 1 hour- A final discussion with client stakeholders to validate technical alignment communication style and ability to deliver within a finance data warehouse setting.To ensure youve received our notifications please whitelist the domains and Required Experience:Senior IC Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Part-Time Experience: years Vacancy: 1