Senior Software Engineer - Analytics Event Streaming

Senior Software Engineer - Analytics Event Streaming Location New York Business Area Engineering and CTO Ref # 10050045 Description & Requirements Ready to join a team that works with open source and big data technologies to solve complex problems? Join our Analytics Event Streaming team! We are part of the Bloomberg Connectivity & Integration (BCI) organization, which connects thousands of enterprise clients to hundreds of Bloomberg applications, moving terabytes of financial data in a snap. Our BCI Analytics Event Streaming team ingests billions of client-focused events daily from Connectivity systems and integrated Bloomberg products. We serve dozens of engineering teams, and thousands of active client users, with a high-throughput, low-latency, and reliable real-time stream processing and event storage platform. Enterprise clients rely on our data to monitor the health of their data workflows, connectivity to Bloomberg, find insights and actions to take, and remediate issues. We rely heavily on open source technologies, such as Apache Flink, Kafka, Redis, Solr and Hadoop. We are proud to be the earliest adopters of Apache Flink and one of the largest users in the firm. We are seeking a Senior Software Engineer to join the team. You will be able to build a platform and solutions at large scale, while also working closely with business to make a client impact, and get creative and employ the best technology to solve the needs. We trust you to: Develop high standard software and data streaming pipelines, ensuring scalability, reliability, and efficiency Show strong ownership of your tasks. Collaborate with Engineering and Business stakeholders to drive project to success Research solutions for problems with a large dataset, run proof of concepts, and advocate ideas to the team Mentor less experienced members of the team to help them grow Contribute to an inclusive, supportive and collaborative team culture You will need to have: 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.) or equivalent experience in Go and Scala Familiar with some big data storage and processing technologies (e.g., BCS, Hadoop, Solr, Spark, Flink, Kafka) Strong problem solving and communication skills, and ability to work independently and as part of a team We’d love to see: Hands-on experience with Apache Flink and Kafka Experience with NoSQL database Familiarity with containerization technologies (e.g., Docker, Kubernetes) Salary Range = 160000 - 240000 USD Annually + 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. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email View email address on click.appcast.io #J-18808-Ljbffr Bloomberg L.P.