| Hybrid Position: Hadoop with DevOps USC/GC strongly at Remote, Remote, USA |
| Email: [email protected] |
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Position: Hadoop with DevOps experience No H1B/OPT- USC/GC strongly preferred ONLY LEGIT CANDIDATES WILL BE ENTERTAINED This is a hybrid position in NY Local candidates ONLY $60-65/hr C2C Must have LinkedIn PV is very technical, please submit strong candidates who can take call properly. Please submit quality resume within 4-5 pages only. The Team Bloomberg runs on data! It's our business and our product. Financial institutions need timely, accurate data to capture opportunities and evaluate risk in fast-moving markets, from the biggest banks to elite hedge funds. Bloomberg's application teams face complex compute challenges in terms of large-scale data processing, low-latency data retrievals and high-volume requests over regionally distributed data lakes and warehouses. Cloud Native Compute Service (CNCS) group provides backbone solutions to these problems by building secure, highly available, and regulatory compliant multi-tenant platforms powering AI, business intelligence, data engineering, and analytics use cases in Bloomberg. The Apache Hadoop platform (HDFS, HBase, Hive, Oozie, YARN/Spark, etc) houses the largest datasets, multi-petabytes in scale, and the most mission critical compute workloads in the firm. Our Hadoop engineering team manages the massive underlying infrastructure running 100s of billions of requests per day and running 10s of thousands of jobs hitting 100s of thousands of tables every day. We also provide standard methodologies and domain expertise on Hadoop services to applications across various product domains at Bloomberg. Who are you You are a dedicated and motivated engineer interested in building and managing large-scale distributed systems. You are an innovative problem solver who likes building tools and orchestration frameworks to relentlessly automate away toil. You want to make a significant impact and contribute to open-source software. Well trust you to: Build and develop tools to operate and support a massive data and compute infrastructure (10s of PB) through aggressive process automation. Provide tenants with self-serve tools to provision Hadoop resources and environments. Understand and improve the usability, reliability, and scalability of open-source Apache Hadoop services to optimize for the needs of Bloomberg application teams. Youll need to have: 3+ years experience Infrastructure as Code (IaC) practices and technologies like Ansible, Chef, or Terraform. Systems programming experience in Python, Go or Java. A degree in Computer Science, Engineering or similar field of study or equivalent work experience. Experience with Chaos Engineering or testing strategies for infrastructure and platform operations. Solid understanding of Linux Operating system, scripting, OS troubleshooting Strong problem-solving and communication skills. We'd love to see: Experience with workflow automation tools like Airflow, Argo, etc. CI/CD experience like Jenkins, TeamCity, etc. to manage SDLC of infrastructure and platform automation tooling. Experience in automating deployments of technologies in the Hadoop ecosystem (HDFS, HBase, Hive, Spark, Oozie, etc.) Experience with Cloud Native computing technologies like Kubernetes, and Containers. Operates well in Agile team cadences -- Keywords: continuous integration continuous deployment artificial intelligence information technology golang green card New York Hybrid Position: Hadoop with DevOps USC/GC strongly [email protected] |
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| 09:55 PM 14-Jan-25 |