AR

Senior Technical Consultant - FDI

Argano Software
Hyderabad3-6 LPA Posted 9 Sept 2025
FULL TIME
Devops
Microservices
Api Development
Sql
Data Analysis
+1 more

Job Description

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.
  • Implements 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:

EDUCATION:

  • 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:

  • Experience with Oracle FAW (Fusion Analytics Warehouse) in SCM/ERP/HCM analytics.
  • Experience with provisioning FAW, Setting SSO with Fusion, Configure Techno-Functional parameters, activate 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) whenever not possible in extending FAW semantic model.
  • 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 documentations and communicate with client 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 POCs 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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