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 rapidly changing business world. Our customers are typically users who are unfamiliar with database schema and technology, so we focus on building a next-generation Self-Service Data Discovery and Analytics platform. This team provides you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment.
For this position, we are seeking a full stack data engineer to join our growing team in the United States with the following skills:
As a member of the FDI Pipeline team:
- You will learn Business/functional requirements from Product Managers/Subject Matter Experts and analyze data sufficiency.
- You will design/implement data models and pipelines to power reporting/analytics/ML-models. We deliver easy to explain/understand data models.
- You will own the quality of the deliverable, 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 the design.
- You will monitor and learn from current deployment statistics/customer feedback and advances of the underlying platform to identify potential improvements.
- You will learn about prior art, competitive offerings, new technologies and will get the opportunity to influence the features of the underlying platform.
- You will create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
Minimum Requirements:
- BS or higher degree in Computer Science, Computer Engineering or equivalent with 10+ years of applied experience and 5+ years of proven experience working in data architecture/engineering/modeling.
- Strong knowledge of Kimball and data model best practices in the big data world.
- Experience with analytical relational databases (understanding of Execution Plan, partitions).
- Experience with big data systems Spark (understanding of driver, executors, partitions) and proficiency in SQL, data modeling tools, and ETL processes/patterns/best practices.
- Experience with data analysis, basic statistics and visualization.
- Strong problem-solving/analytical skills and eye for details.
- Strong programming skills in Python/PySpark/Java and excellent communication 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.
Career Level - IC4
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