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:
H ands-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.
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
Benefits
Health insuranceParental leave
Additional Information
Responsible for data engineering, data architecture, integration, maintenance and support. Individuals in this position must be a self-directed professional, who will also bring leadership skills and quickly learn new technologies and programming languages.
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 p articipate in overall architecture and strategy for the deployment of our end-to-end data pipelines.
You have experience designing , build ing , and maint aining end-to-end scalable data pipelines .
You are looking to a pply dimensional modeling techniques to design tables and views that map business processes into an enterprise data model.
Bloomberg · Arlington