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Data Engineer 120 views

At Bloomberg, their products are fueled by powerful data. Their Global Data department combines technology with product experts to bring unequaled value to the world’s information. This information comes from a variety of sources both structured and unstructured, including company filings, web scraped content, and alternative data. They collect, analyze, process, and publish the data which is the backbone of their iconic Bloomberg Terminal & data products that ultimately drive the financial markets.

Their department arose from a need to transform their business from largely manual processes to more scalable automated solutions. In order to continue the evolution of their data management operations, they are creating systems to manage the relentless flow of information. This not only saves them time and money but helps them deliver richer more actionable content. They’re growing their team in order to scale their technology capabilities and expand the range of acquisition, extraction, and enrichment techniques they use for automation.

What’s in it for you?
Their department supports Global Data’s software development and technical operations to shorten the development lifecycle – enabling them to provide data quickly and efficiently. They are leveraging advanced data processing and NLP as part of their pre-processing strategy. You will get exposure to their proprietary data pipelining, information extraction, and enrichment operations as part of their data processing paradigm.

Utilizing their modular tech stack, they are excited to expand both the data they process and the insights they provide. They are focused on combining and contributing to existing systems to build larger, more useful pipelines and services. They will work together to identify future projects and areas where they can have an impact. You’ll be part of team-building data-driven systems supporting their internal businesses across Data Analytics, News, Research & Enterprise Data.

Who are you?

    • An autonomous, creative engineer who loves technology, is endlessly curious, aggressively inquisitive, and an advocate for best practices
    • You’re a systems thinker who can see the big picture and understand how to break a larger problem down into smaller pieces that can be solved independently
    • Someone who is aligned to and excited by their department’s core mission to build community, evolve, and drive impact
    • You can build a network and find new opportunities for improvement


They’ll trust you to:

    • Apply your Python coding skills to help advance their goal of automating the influx of data and creating ETL solutions for their internal teams
    • Evangelize technical solutions and innovations among teams for further application
    • Identify strategic department level technical gaps in their ecosystem and advocate for new technologies and techniques
    • Leverage your development experience to build systems that are complete and robust enough to weave the data between automation and human expertise
    • Help build systems that utilize Machine Learning techniques to learn from human SME knowledge and actions


You’ll need to have:

    • 4+ years experience programming and scripting in Python within a production environment
    • 2+ years of experience with data modeling within SQL and NoSQL databases
    • 2+ years of experience working with restful APIs
    • Deep understanding of large-scale, distributed systems with an ability to understand large systems with minimal documentation
    • Legal authorization to work full-time in the United States and will not require visa sponsorship


They’d love to see:

    • Systems thinkers – an interest or a natural preference to think about system architecture and how things work together


If this sounds like you apply!
They are an equal opportunity employer and value diversity at our company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

 

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