FusionHit
B2B • Software • SaaS
FusionHit is a trusted Nearshore Agile Development partner with locations in New York and San Jose, Costa Rica. The company specializes in delivering high-quality software solutions through collaborative Agile development teams. Their services include mobile app development, UI/UX design, product development, software testing, blockchain development, and Robotic Process Automation, focusing on innovative technologies and agile processes to ensure a positive digital experience for their clients.
Senior Data Engineer, Oracle FDI
Yesterday
FusionHit
B2B • Software • SaaS
FusionHit is a trusted Nearshore Agile Development partner with locations in New York and San Jose, Costa Rica. The company specializes in delivering high-quality software solutions through collaborative Agile development teams. Their services include mobile app development, UI/UX design, product development, software testing, blockchain development, and Robotic Process Automation, focusing on innovative technologies and agile processes to ensure a positive digital experience for their clients.
📋 Description
• Design and build data pipelines and warehouse components supporting the Elevate Finance data warehouse. • Work primarily within the Oracle ecosystem, aligning with the client’s preference for Oracle-native solutions. • Develop and/or support reporting in Oracle FDI, including report creation and optimization. • Collaborate with the current data engineer and project leadership to turn business requirements into technical deliverables. • Contribute to best practices for data architecture, quality, and scalability as the platform grows.
🎯 Requirements
• BS/MS in Computer Science, Information Technology, or related field with 5+ years of experience in data engineering or similar roles. • Strong Oracle FDI (Fusion Data Intelligence) knowledge — core requirement. • Experience developing or supporting reports in Oracle FDI — major bonus / high preference. • Hands-on experience designing and building scalable data pipelines and warehouse components. • Experience with Databricks and handling large data volumes. • Ability to translate business requirements into scalable data models. • Excellent communication skills in English (C1 preferred, strong B2 may be considered).
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