Data Flow Specialist
2 days ago
Key Responsibilities:
- Design and develop data pipelines using Oracle Data Flow or Apache Spark (PySpark) with solid understanding of data patterns, Python, and SQL.
- Orchestrate data workflows ensuring seamless integration and automation across data services.
- Utilize cloud infrastructure components to manage data lakes, warehouses, and pipelines.
Requirements:
- A minimum of 3–12 years of experience in building and managing Data Lakes, Data Warehouses, and Data Pipelines.
- Strong expertise in designing and developing data pipelines using Oracle Data Flow or Apache Spark (PySpark).
- Excellent communication skills with ability to collaborate effectively across teams and engage with stakeholders.
Benefits:
- Develop expertise in modern data engineering practices.
- Work on large-scale data projects with global impact.
Join our team of passionate data professionals.
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