We’ll trust you to
Advance how tenants from multiple product domains leverage Hadoop Infrastructure services to meet their goals
Provide and improve our capabilities to migrate and support a massive data and compute footprint (10s of PB) to newer versions.
Improve our tenants' user experience when securely interacting with powerful underlying infrastructure frameworks.
Understand and improve the usability, reliability, and scalability of open-source Apache Hadoop services to optimize for the needs of Bloomberg application teams.
You’ll need to have
4+ years of demonstrated experience working with an object-oriented programming language (Java) and associated technologies (eg. Spring/JMX/JDBC)
A degree in Computer Science, Engineering or similar field of study or equivalent work experience.
3+ years of experience in the Hadoop ecosystem and related technologies (HBase, HDFS, YARN)
Knowledge of modern development methodologies and tools (Jenkins/Maven/Jira).
Solid understanding of Linux Operating system, Shell scripting, OS troubleshooting
Strong problem-solving and communication skills.
We'd love to see
Experience working with open-source software/community.
Experience with distributed systems architecture and system design.
Knowledge of Ansible.
Experience with workflow automation tools like Airflow, Argo, etc.
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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