
Data Engineering Specialist
2 days ago
The ideal candidate will have a strong background in designing and developing data pipelines using Oracle Data Flow or Apache Spark (PySpark) with a solid understanding of data patterns, Python, and SQL.
- Data Pipeline Design: Develop efficient and scalable data pipelines to handle large datasets, ensuring seamless integration and automation across data services.
- Workflow Orchestration: Utilize Oracle Cloud Infrastructure (OCI) components such as ADW, Object Storage, and OCI Data Integration to orchestrate data workflows and ensure smooth data processing.
- Familiarity with ETL Tools: Experience with ETL tools like Oracle Data Integrator (ODI) is highly desirable.
Key Requirements:
- 3-12 years of experience in building and managing data lakes, data warehouses, and data pipelines.
- Excellent communication skills for collaboration across teams and engagement with stakeholders.
What We Offer:
As a Data Engineering Specialist, you will be part of a dynamic team that drives innovation and excellence in data engineering. You will work on challenging projects, collaborate with cross-functional teams, and contribute to the development of cutting-edge data solutions.
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