Are you a software engineer interested in owning, developing and improving mission-critical high-throughput systems that process hundreds of billions of data points daily? Do you want to support Bloomberg's Enterprise Data business, which is situated at the intersection of rapid growth and high revenue? Would you love to work with technologies such as Python, C++, Celery, RabbitMQ, Kafka, and Comdb2? Then we want you in the Data License Bulk team at Bloomberg!
Bloomberg Enterprise Data provides financial institutions a platform to make millions of requests per day for a wide range of financial data. Whether it's ESG, Company, Pricing, Corporate Actions, Regulatory or Reference Data, Data License is the one-stop-shop for our clients' most demanding data and analytical needs. This translates into hundreds of billions of data points flowing through the Data License Bulk Platform daily, that are carved into thousands of financial datasets. With a focus on high availability, low latency, and resiliency, the Data License Bulk Platform provides a set of managed, highly distributed workflows to create, verify, and deliver these datasets to thousands of clients everyday.
We'll trust you to:
• Design complex workflows in code while understanding the scope and impact of your work
• Build robust microservices and tools to transform data in a fast-evolving environment
• Scale distributed architectures to handle massive data pipelines
You'll need to have:
• 4+ years experience working with an object-oriented programming language (Python, Java, C/C++)
• A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
• Experience designing large-scale applications
• Demonstrated ability to complete projects that require significant problem solving, communication skills
• Proven ability to collaborate with multiple teams in a fast-paced environment
• Ability to learn new skills and technologies and adapt quickly
We'd love to see:
• Experience working with low-latency, high-volume, and highly-available distributed systems including deployment, monitoring, and building robust fault-tolerant systems
• Developing software in a Linux environment
• Proficiency with development tools such as debuggers and memory profilers
• Experience with application monitoring tools or services
• Experience in an agile or iterative software development process
• Contributions to Open Source projects
