Data Engineer II
About The Position
We are seeking an experienced Data Engineer to drive the team's data strategy and vision. The data engineer will be responsible for design and build of the data infrastructure for automated and scalable platforms to support the reporting and forecasting requirements of finance teams. The data engineer will execute projects that build scalable data and visualization frameworks from multiple operational and financial datasets. The Finance team currently has a multi-year roadmap that aim to deliver automated reporting solutions, accelerate predictive forecasting, and interactive analytic tools for our finance analysts. This role requires an individual with excellent data modeling, data architecture design, analytic visualization, and software development skills. A successful candidate will have the flexibility to execute on business intelligence projects while considering optimal and efficient data architecture. The candidate must have the ability to quickly build internal contacts and work across multiple finance, technology, product, and business teams to drive the overall strategy.
Requirements
- Design and build data reporting solutions across different visualization platforms (e.g. Quicksight)
- Build data infrastructure and manage other AWS resources including EC2, RDS, Redshift, EMR, etc
- Ability to query, program, and perform analysis on large datasets using SQL languages and Python
Responsibilities
- Architect and develop end to end scalable data applications and data pipelines
- Design and build data reporting solutions across different visualization platforms (e.g. Quicksight)
- Establish scalable, efficient, automated processes for reporting, dashboards, data analyses and model development
- Ability to query, program, and perform analysis on large datasets using SQL languages and Python
- Build data infrastructure and manage other AWS resources including EC2, RDS, Redshift, EMR, etc.
- Collaborate with other teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
- Participate in data strategy and road map exercises, data warehouse design and implementation
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What This Job Offers
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
