This job offer is no longer available
Senior Cloud DevOps Engineer - Data Pipeline Specialist
Oracle
- United States
- United States
About
Set standards and best practices while collaborating with senior leadership to demonstrate your expertise.
Participate in exciting AI and cloud-native initiatives within a results-driven team environment.
Key Responsibilities: Work alongside data scientists and business analysts to convert research code into production-ready services and repeatable processes.
Configure and manage key cloud resources within OCI, encompassing IAM policies, VCNs, access rules, logging, and monitoring.
Design, implement, and manage CI/CD pipelines for R and Python applications using OCI DevOps, Git-based workflows, and Artifact Registry.
Containerize applications with tools such as Docker or Build Service, ensuring consistent deployment practices.
Set up and manage static web hosting using OCI Object Storage, CDN, and DNS configuration.
Bring practical cloud experience (preferably with Oracle Cloud Infrastructure, but familiarity with AWS, Azure, or GCP is also acceptable).
Oversee the design, implementation, and maintenance of advanced data pipelines and platforms from gathering requirements to delivery.
Architect, build, and enhance large-scale, reliable, and secure data workflows on Oracle Cloud Infrastructure utilizing services like OCI Data Flow, Data Integration, and Autonomous Data Warehouse.
Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to create scalable and efficient solutions.
Lead the investigation and adoption of new Oracle cloud-native technologies to foster continual process improvements.
Ensure compliance with Oracle's security, privacy, and data management protocols while proactively spotting risks.
Mentor junior team members and cultivate a culture of learning and excellence.
Prepare and present technical proposals and optimization recommendations to technical and business leaders alike.
Translate business needs into actionable solutions.
Facilitate collaborative efforts and knowledge sharing to improve technical understanding organization-wide.
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
5+ years of data engineering experience with a robust track record of designing and delivering large-scale data platforms in cloud environments.
Strong expertise in Oracle Cloud Infrastructure, Autonomous Data Warehouse, Oracle Database, and data integration tools.
Extensive experience in data modeling, warehousing, ETL/ELT design patterns, and building production-grade data solutions with Oracle products.
Deep understanding of data security, privacy, and best practices for regulated enterprises.
Exceptional analytical, problem-solving, and communication abilities with a history of cross-team collaboration.
Experience in mentoring or promoting best practices in data engineering.
Preferred Qualifications: Experience managing migration projects or developing new data platforms on OCI.
Knowledge of Oracle Analytics Cloud, Oracle Machine Learning, and DevOps practices for data workflows.
Professional Oracle certifications in cloud data management or related disciplines.
Note: Certain U.S. customer or client-facing roles may necessitate compliance with relevant immunization and occupational health mandates. This role offers a salary range from $96,800 to $223,400 per annum, with potential eligibility for bonuses and equity. Oracle provides a comprehensive benefits package inclusive of medical, dental, and vision insurance, retirement plans, and paid time off, to promote employee wellness and work-life balance. We are dedicated to fostering an inclusive workforce and warmly welcome applicants from diverse backgrounds.
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.