Data Warehouse Team Lead – Business Intelligence | New York, NY | Bloomberg Careers

Data Warehouse Team Lead – Business Intelligence

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New York, NY

Posted May 2, 2022 - Requisition No. 102914

Data Warehouse Team Lead – Business Intelligence 

Note: This position is open in both NY and Princeton.

Bloomberg runs on data. As the Data Warehouse / Business Intelligence team for the firm, our data captures the who, what, when, where and why of everything about Bloomberg - from everything about our clients to their use of Bloomberg products to our ticketing systems to information about the hardware in our data centers and client locations. We are responsible for ingesting and preparing massive amounts of data (4PB and growing) to empower the whole company (7000+ users and growing) to make a difference through reporting, dashboards, self-service and advanced analytics. The data is used to drive new businesses within Bloomberg by providing new insights. Our goal is to have a direct or indirect hand in every decision Bloomberg makes! This specific position is in support of our ever growing Management Reporting & Analysis business.

What's in it for you? 

Are you hands-on TL, motivated to build a high functioning team, and developing robust and scalable systems to handle petabytes of data, with billions of new data points being ingested daily? You will be working with traditional and increasingly modern data warehouse technologies to enhance our capabilities to analyze large volumes of data with complex business rules. Our environment combines traditional warehouse technologies, MPP databases, Hadoop data lake, orchestration tools, and BI Tools (QlikSense, Tableau), with a healthy dose of Bloomberg full stack technologies thrown in.

As a Team Leader, we will trust you to:

  • Be an experienced, hands-on technical leader and work side by side with your team, constantly empowering them to become more effective
  • Foster a culture of high-quality and strong software development practices in the team
  • Drive innovation and the technical vision of the team
  • Inspire and motivate a high performing team to achieve great results, while supporting individual growth and development
  • Communicate and collaborate with multiple areas across the company, including but not limited to Product and Engineering teams

You will need to have:

  • Demonstrated technical and leadership experience in a fast paced environment
  • Strong programming ability in Python.
  • A passion for developing scalable, reliable, and performant pipelines
  • Excellent communication and organizational skills
  • Experience working with stakeholders to manage expectations, make compromises, and deliver great results incrementally in an Agile fashion
  • Familiarity with Hadoop ecosystem (HDFS, Spark)
  • Knowledge of RDBMS systems, database design concepts, and SQL. Experience working with extremely large data volumes is a plus.

Nice to Have:

  • Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling
  • Experience with ETL tools, such as Informatica, SSIS/SSRS, or Talend
  • Knowledge of MPP databases and other big data technologies
  • Knowledge of streaming technologies like Kafka
  • Knowledge of reporting tools such as QlikSense, Tableau, Cognos
  • Experience working in a UNIX or Linux development environment
  • BS/MS in Computer Science or related field

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 maternity/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 amer_recruit@bloomberg.net.

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