You are a data engineer who thrives in an integrated team working closely with stakeholders, data analysts, data scientists, and ML engineers.
You want to participate in overall architecture and strategy for the deployment of our end-to-end data pipelines.
You have experience designing, building, and maintaining end-to-end scalable data pipelines.
You are looking to apply dimensional modeling techniques to design tables and views that map business processes into an enterprise data model.
What you will do:
Work with senior business stakeholders to break down business problems and design analytics solutions
Provide technical leadership to drive best practices for data modeling, ETL, and data quality
Design and build data pipelines to enable decision making through analytics
Develop automated solutions to replace manual data processes
Refine and enhance reporting data models
Act as a champion for data quality by proactively identifying data quality issues and coordinating with system owners to resolve issues quickly
Build relationships with senior business leaders to gather requirements and evangelize data analytics best practices
What you bring with you:
Hands-on development experience with SQL and an ETL tool
Advanced SQL capabilities are required. Knowledge of database design techniques and experience working with extremely large data volumes is a plus
Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling
Programming experience in Python
Knowledge of reporting tools such as Tableau or Power BI is a nice-to-have
Education and Experience:
- Bachelor’s degree in Computer Science or a related discipline, or equivalent experience. Master’s degree preferred.
- A minimum of 8 years of experience working in information systems, including at least 5 years developing and maintaining corporate relational DBMS and its components. Experience must cover database and data modeling, designing component-based, open-system architecture, and complex client-server information systems.
- Experience designing, implementing, and supporting data pipelines and services in multi-platform distributed environments, utilizing Java, Python, and/or Scala with strong object-oriented programming skills.
Equal Opportunity
Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to 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 (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).
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What We Do
Bloomberg Industry Group empowers professionals in government, law, tax, and accounting with the news, data, and analysis they need to take decisive action and make the most of every opportunity. Bloomberg Industry Group is an affiliate of Bloomberg L.P.
