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In today's fast-paced world, businesses need real-time insights more than ever. Yet, the complexity poses significant challenges as it combines Big Data and Real Time.
The Golden Gate Data Fabric team, with its extensive experience, is building a next-generation streaming analytics platform that will set a new standard in the industry. Our mission is to revolutionize how data professionals manage and interact with data sets.
This next-gen Platform will allow the building of data pipelines and data transformation with zero coding.
It would support big data technologies like Apache Spark Streaming, Flink, Beam, Delta Lake, Iceberg, Hudi, Parquet, and Kafka.
It will enable the evolving modern data architectures involving Lake House, Data Mesh, Data Fabric, etc.
It will be a very dynamic and fast-paced environment. It will have challenges from both the big data world and real-time streaming.
The candidates should be able to learn new technologies independently and quickly. They should have experience developing services on cloud (AWS, Azure, OCI etc.)
Career Level IC4
Job Responsibilities: Design/Architect, Develop & Debug Software with high quality and on time. Be an excellent team member/leader and guide other engineers.
Career Level - IC4
Required Qualifications
- BS or MS in Computer Science or a relevant technical field involving coding or equivalent practical experience.
- 10+ years of overall software development experience.
- Excellent in Extensible Design, Coding, Data Structures and Algorithms.
- Excellent experience in Microservice with Java frameworks. (Rest Services, Kubernetes, Cloud Native etc.)
- Good Knowledge of Big Data Real-time Streaming. (Spark, Flink, Kafka etc.)
- Good knowledge of JavaScript/ReactJS.
- Good knowledge of databases (SQL and NoSQL)
- Experience building services in the Cloud (AWS, Azure, OCI) and Good Knowledge of Cloud Native principles.
- Self-motivated, Fast Learner, Excellent Problem Solving Skills and a Good Team Player.
- Curiosity and willingness to be a full stack developer: Big Data Technologies, Distributed Cloud Applications, Frontend Technologies
Preferred Qualifications
- Experience processing, filtering, and presenting large quantities (millions to billions of rows) of data.
- Experience with distributed (multi-tiered) systems, algorithms, and relational databases.
- Strong knowledge of Apache Spark, Spark Streaming, Flink, Beam, Delta Lake, Iceberg, Parquet, and Kafka.
- Understanding of designing and implementing data pipelines.
- Knowledge of Data Mesh and Data Fabric concepts.
- Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform and Ansible.
- Experience working on large-scale, highly distributed services infrastructure.
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
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Disclaimer
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.
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