Senior AI/Big Data Engineer at Oracle Risk Management Services

, , -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Big Data, Data Pipelines, Cloud-Based Systems, Python, Java, Scala, Lakehouse Formats, Streaming Platforms, Distributed Systems, Data Quality, Data Governance, Technical Leadership, Collaboration, Machine Learning, Monitoring

Industry

IT Services and IT Consulting

Description

Design and implement large-scale, fault-tolerant data pipelines on OCI, using services like OCI Data Integration, OCI Data Flow (Apache Spark), Object Storage, and Autonomous Database. Build and manage streaming data architectures using tools such as OCI GoldenGate, Apache Kafka, and Spark/Flink Streaming. Enforce standards and automation across the entire data lifecycle, including schema evolution, dataset migration, and deprecation strategies. Improve platform resilience, data quality, and observability with advanced monitoring, alerting, and automated data governance. Serve as a technical leader, mentoring junior engineers, reviewing designs and code, and promoting engineering best practices. Collaborate cross-functionally with ML engineers, platform teams, and data scientists to integrate data services with AI/ML workloads. Partner in AI pipeline enablement, ensuring Lakehouse services efficiently support model training, feature engineering, and real-time inference. Minimum Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. 3+ year’s experience designing and building cloud-based data pipelines and distributed systems. Proficiency in at least one core language: Python, Java, or Scala. Familiar with lakehouse formats (Iceberg, Delta, Hudi), file formats (Parquet, ORC, Avro), and streaming platforms (Kafka, Kinesis). Strong understanding of distributed systems fundamentals: partitioning, replication, idempotency, consensus protocols. As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design and implement large-scale data pipelines and manage streaming data architectures. Collaborate with cross-functional teams to integrate data services with AI/ML workloads.