Senior Technical Consultant - Oracle Fusion Data Intelligence (FDI)

JOB SUMMARY:

A Senior Data Engineer at Argano leads the design and implementation of advanced data solutions. They provide technical expertise and contribute to the overall data strategy. Senior data engineers hold primary responsibility over the construction and maintenance of data collection systems, pipelines, and management tools. They focus on mid to large size projects building data processing frameworks that handle the business's growing database. They strive to continuously develop new and improved data engineering capabilities. This position supports external software developers, database architects, data analysts, and data scientists on strategic data initiatives and ensures optimal data delivery is consistent throughout ongoing projects.

RESPONSIBILITIES:

Implement mid to large size data engineering projects.

Lead the design and development of scalable and robust data architectures.

Collaborate with cross-functional teams to define data strategy and requirements.

Optimize and tune data pipelines for performance and efficiency.

Stay current with emerging trends and technologies in data engineering.

Recommend and deploy data models and solutions for existing data systems.

Ensure data compliance and security needs are met in system construction.

Manage and convert raw data into understandable information for other professionals.

Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

MINIMUM AND/OR PREFERRED QUALIFICATIONS:

A bachelor's degree in information technology, Computer Science or a related field is expected.

Master's degree or PhD in computer science or software engineering preferred.

EXPERIENCE:

8 - 12 years of experience with Oracle FAW (Fusion Analytics Warehouse) in SCM/ERP/HCM analytics.

Experience with provisioning FAW, setting SSO with Fusion, configuring techno-functional parameters, activating pipelines for data loading and validation of seeded content.

Good experience in the implementation of ERP/HCM/SCM analytics using Oracle Analytics Cloud (OAC), Fusion Analytics Warehouse (FAW) and BI technologies with at least 2 full life cycles.

Experience in incorporating Custom Fusion security into FAW on top of SSO setup.

Experience in working with Cloud SCM/ERP/HCM for designing custom DWH using Semantic Model Extension and Data Augmentation.

Experience with Fusion ERP/SCM/HCM tables and Public View Objects (PVOs) to support creating custom reports in BI Publisher (BIP) and Oracle Transactional Business Intelligence (OTBI).

Knowledge in integrating multiple custom and oracle data sources to load into Enterprise DWH.

Understand the Data Warehouse models and ODI integrations.

Should have knowledge in functional understanding of Oracle Fusion ERP/SCM/HCM modules.

Understanding requirement, solution blueprint, performing fit gap analysis, business process designs.

Good querying skills on Oracle database with ability to understand and debug PL/SQL objects.

Experience as architect for Dimension Modelling and Data Warehouse builds for extending the FAW semantic data model.

Production readiness and rollout go-live support.

Must be well versed and hands-on in troubleshooting various issues and providing workarounds.

Ability to prepare status reports, change management, technical/functional documentation and communicate with clients directly.

Experience in supporting various techno-functional data related questions from business users and should be able to work closely with Oracle Fusion team whenever needed for functional inputs.

Ability to work with Sales team for presenting FAW capabilities to grab new opportunities and should be able to do POC's accordingly.

SKILL REQUIREMENTS:

Problem-Solving: Advanced problem-solving and analytical skills.

Strategic Thinking: Ability to align data strategies with broader business goals.

Collaboration: Effective collaboration with cross-functional teams.

Communication: Strong communication skills to convey technical concepts to non-technical stakeholders.

Optimization: Ability to optimize and tune data pipelines for performance.

Adaptability: Willingness to learn and adapt to new technologies and tools.

Database Knowledge: Advanced knowledge of relational and non-relational databases.

Data Architecture: Expertise in data architecture and design principles.

Programming Mastery: Proficiency in multiple programming languages and data engineering tools.

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