Designs, develops, deploys, and troubleshoots Oracle Integration Cloud APIs and integration flows connecting on-premise and cloud applications. Builds synchronous, asynchronous, and batch integrations using Salesforce, file, and database connectors. Responsibilities include error handling, transformations, validation, technical design reviews, estimations, version control, change requests, bug fixes, and coordination with IT, Oracle support, infrastructure, DBAs, and business stakeholders.
RESPONSIBILITIES
- Design and implement integration APIs using Oracle Integration Cloud(OIC), develop and deploy integration flows on OIC
- Design and develop integration Projects using various connectors like Salesforce, File, Database for integrating various applications which are on-premise and hosted on cloud using synchronous and asynchronous integration flows using OIC.
- Developing batch integrations to transfer data in bulk between enterprise applications using OIC
- Building integration flows, scopes and Error Handling strategies, Message filters, Validation, Transformation, Message Enricher and Flow Controls.
- Design and develop various integration methods using industry best practices to integrate various applications.
- Conduct business review meetings to discuss change requests and enhance existing services.
- Provide estimations, code version control and code development.
- Interact with other IT partners and business users in all the phases of software development.
- Coordinate with the technical team, Oracle support, DBA, IT Infrastructure, Functional consultants for implementing bug fixes.
- Problem determination and resolution (troubleshooting, system bugs, data issues).
- Review of technical designs and integration requirement to ensure the solutions meet the business needs.
QUALIFICATIONS
- Bachelors Degree in Computer Science/Information Systems
- 5-6 Years of Hands on Development experience in OIC
- Certifications are a plus
- Experience with various integration patterns
- Understanding of API and Services security frameworks is highly desirable.
- Understanding and working knowledge of Kafka is preferred.
- Ability to coordinate and manage multiple projects and prioritize tasks
- Highly organized, detail oriented, innovator
- Emotionally intelligent; ability to manage people and situations with tact
- Must be able to “think on your feet” and demonstrate a strong ability and initiative to learn
- Consultative, great listener, proactive
- Flexible, adaptable, responsive
- Trustworthy, reliable, respectful, honorable
- Able to maintain confidentiality at all times
- Accountable and open to constructive feedback
- Take pride in the work that you do
- Strong verbal and written communication skills
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Plans and executes capital engineering projects for food manufacturing, including feasibility, budgeting, technical development, equipment strategy, stakeholder coordination, project execution, and compliance with quality, safety, environmental, and engineering standards. Supports cross-functional teams, vendor site visits, factory acceptance tests, installations, and evolving project requirements.
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Supports shopper marketing and scale activation programs across Canadian retail banners. Responsibilities include managing multi-million-dollar budgets, developing annual plans, coordinating customer-specific creative and promotional activations, briefing agencies and vendors, securing approvals, analyzing Nielsen data, and collaborating with sales, brand, finance, customers, and external partners to drive conversion and ROI.
Top Skills:
Nielsen
Big Data • Fintech • Mobile • Payments • Financial Services
Own end-to-end analytical problems across risk, fraud, growth, and lending products. Develop strategies, monitor portfolio and macroeconomic trends, build metrics and analytical frameworks with Engineering and Machine Learning teams, and influence product, regulatory, compliance, and launch decisions. Engage external partners, translate complex insights into action, create AI-assisted workflows, and mentor junior analysts.
Top Skills:
Ai-Assisted WorkflowsData VisualizationMachine LearningPythonSQLStatistical Modeling
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
