This job is with Oracle, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Business Data Intelligence is one of the fastest growing segments of the software industry. Business Data Intelligence Tools allow analytics and executives to get the information they need to make critical strategic decisions in a fast-paced constantly evolving business world. Our customers are typically users who are unfamiliar with database schema and technology, so we focus on building Next generation Self-Service Data Discovery and Analytics platform. This team provides you the opportunity to build and operate a suite of extensive scale, coordinated cloud services in a broadly distributed, multi-tenant cloud environment.
As a Member Of The FDI Pipeline Team
- You will learn Business/functional requirements from Product Managers/Domain Authorities and analyze data sufficiency
- You will craft/implement data models and pipelines to power reporting/analytics/ML-models. We deliver easy to explain/understand data models.
- You will lead the own quality of the result, design/develop unit/integration tests and also collaborate with QA counterparts.
- You will debug/analyze data issues (mismatch/refresh etc). In fact you will take data debugging into consideration as part of design.
- You will supervise and learn from current deployment statistics/customer feedback and advances of underlying platform to identify potential improvements.
- You will learn about prior art, driven offering, new technologies and will get opportunity to influence the features of underlying platform.
- You will build supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
Career Level - IC3
- BE/B.Tech or higher degree in Computer Science, Computer Engineering or equivalent with 10+ years of applied experience 5+ years of confirmed experience working in data architecture/engineering/modeling
- Functional Experience in working with Oracle Fusion or other Enterprise Applications (Financial Area)
- Shown understanding of Kimball and data model standard methodologies in bigdata world.
- Experience with analytical relational databases (understanding of Execution Plan, partitions)
- Experience with bigdata systems Spark (understanding of driver, executors, partitions)Proficiency in SQL, data modeling tools, and ETL processes/patterns/standard methodologies.
- Experience with data analysis, basic statistics and visualization
- Strong problem-solving/analytical skills and eye for details
- Strong programming skills in Python/PySpark/Java Excellent interpersonal skills, both written and verbal
- Experience in Data Science concepts, Machine Learning/Artificial Intelligence is a plus
- Experience in Software engineering is a plus
- Experience in development/supporting data product/solutions over multiple releases is a plus.
- Experience with Oracle Cloud and Oracle Analytics is a plus
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Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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