
Cloud Data Engineering Professional
2 weeks ago
Job Title:
Cloud Data Engineering Professional
Key Responsibilities:
- Design and develop scalable cloud-based data pipelines using industry-leading technologies.
- Develop and implement high-performance data processing solutions using Apache Spark (PySpark) and Oracle Data Flow.
- Collaborate with cross-functional teams to ensure seamless integration of data services across the organization.
- Demonstrate expertise in data pattern analysis, Python, and SQL to drive business growth through informed decision-making.
- Foster strong relationships with stakeholders to communicate project outcomes and deliverables effectively.
Required Skills and Qualifications:
- 3–12 years of experience in building and managing large-scale data lakes, data warehouses, and data pipelines.
- Hands-on experience with Oracle Cloud Infrastructure (OCI) components, including ADW, Object Storage, and OCI Data Integration.
- Proficiency in ETL tools like Oracle Data Integrator (ODI).
- Excellent communication and collaboration skills.
Benefits:
This role offers a unique opportunity to work on cutting-edge projects, collaborate with talented professionals, and drive business growth through innovative data engineering solutions. As a seasoned data engineer, you will have access to ongoing training and development opportunities to stay ahead of the curve in this rapidly evolving field.
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