Administer, monitor, and maintain Oracle Fusion Cloud Applications including Fusion ERP, WMS, EPM, and OTM. Install, configure, and support Oracle E-Business Suite R12 and Oracle Databases. Proactively monitor and optimize database and application performance, resolving performance bottlenecks and system issues. Execute environment cloning and refresh processes for Oracle EBS and Oracle Cloud applications.
Work on the Research and Development team to create and expand Aibidia's range of solutions. You will play a pivotal role in delivering an exceptional product to clients such as Nokia, Dyson, and Bridgestone. Design and develop scalable data models and semantic layers within the BI tool to represent key business processes. Develop and maintain standard and configurable dashboards and reports for both internal and external use.
This role is responsible for scheduling, orchestrating, and executing big data workflows and jobs using next-generation Data Workflow Orchestration platforms to meet needs for scale and speed. You will build fully managed workflows, enabling high throughput, horizontal scalability, and advanced parametrized, event-based scheduling. Your team will build an ETL framework for incremental data processing for increased data accuracy, freshness, and easy backfill to directly impact the cost and operational efficiency of Analytics and ML.
Design and implement modern data architectures and data pipelines on cloud platforms (AWS or Azure). Implement ETL/ELT routes, batch and streaming processing with a focus on scalability and maintainability. Integrate storage systems, event sources, databases and analytics platforms. Automate data processing processes with infrastructure and DataOps methods. Advise customers on data strategy, governance and cloud-native data services.
As a Data Engineer, you will analyze, design, and implement data pipeline features and infrastructure improvements. You will write efficient, well-tested code and conduct unit and integration testing. You’ll build and optimize data ingestion and ETL/ELT processes. You’ll participate in end-to-end project delivery—from ideation to production. You’ll collaborate cross-functionally with security and product teams to embed security and compliance best practices into development processes.
Reprise Financial is seeking an experienced VP – Enterprise Data Management to lead our EDM team of approximately 15 people focusing on gathering requirements, designing, and implementing data solutions. This leadership role involves designing, documenting, and improving processes delivering effective operational databases, data warehouse, and business intelligence solutions. The role leads future changes, identifying deliverables, testing, and documenting changes. The position engages with various units.
Design and optimize secure, scalable data pipelines and cloud data warehouse solutions. It’s ideal for someone who thrives in fast-moving environments, values clean architecture, and collaborates well across both technical and non-technical teams.
The Director of Database Management will be responsible for leading the company’s database systems, API data integrations, ETL processes, and assist with Tableau analytics. This role combines hands-on technical work with strategic leadership to ensure reliable, secure, and actionable data across the organization.
The Data Engineer will play a crucial role in the design, development, and maintenance of the organization’s data architecture, constructing, testing, and maintaining scalable data architecture and infrastructure to meet the business’ growing data needs. The Data Engineer shall also implement methods to improve data quality and reliability while ensuring high levels of availability.
Fandango is seeking an experienced and strategic Director of Data Engineering to lead our Core Data Engineering team and our Fandango360 B2B marketing data platform. This role is ideal for a data leader who thrives at the intersection of data infrastructure, marketing technology, and product innovation. You’ll drive the roadmap for data products and pipelines that power decision-making, monetization, and privacy-safe marketing intelligence.