Oracle BI Apps Consultant

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• Strong expertise in designing and developing interactive dashboards and reports using BI tools like Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle Analytics Cloud (OAC).
• Proficiency in programming languages such as Pyspark and PL/SQL for data processing and automation.
• Strong understanding of Azure cloud platform and its services for deploying and managing cloud-based solutions.
• Experience with Cloud services such as Azure Data Services, ADLS and AKS.
• Experience with Python and PySpark for distributed data processing, along with proficiency in Numpy, Pandas and other data manipulation libraries.
• Experience in optimizing big data architectures for high availability and performance.
• Strong problem-solving skills, analytical mindset, and ability to work in fast-paced environments.
• Experience with the Incorta platform, including its Direct Data Mapping engine, which enables real-time operational analytics without the need for upfront data modeling.
• Understanding on how Incorta connectors work effectively for ingesting data from Oracle Cloud and other diverse data sources.
• Understanding of AI techniques to enhance data analysis and contribute to predictive modeling.
• Basic knowledge of Dev Ops practices and tools for implementing continuous integration and continuous deployment (CI/CD) to streamline.
• Provide full operational support for all applications within the BI Apps portfolio.
• Create interactive dashboards and reports using BI tools such as Oracle Business Intelligence Enterprise Edition (OBIEE), Oracle Analytics Cloud (OAC), and Incorta. Technical expertise building data models and ETL techniques (Data integration using Sync, recipes and dataflows).
• Help the team to understand various business flows in alignment with the customer-specific processes.
• Prepare new support-related documents and maintain & upgrade the existing ones.
• Discuss with business users for new requirements and prepare Functional & Technical Specification Documents.
• Build, optimize and manage large scale data pipelines leveraging pyspark and spark clusters.
• Deploy, orchestrate and manage containerized workloads using Azure Kubernetes services (AKS) for distributed data processing and analytics.
• Design and manage Azure IaaS resources for high performance data processing.

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

$93,700 - $140,000 a year

Mid-Senior level

Full-time

Information Technology

IT Services and IT Consulting