Data Engineer developing and maintaining CRE forecasting infrastructure for Cushman & Wakefield. Collaborates with senior economists and technical teams to ensure high - quality data solutions.
About the role
- Data Engineer developing sophisticated data integration frameworks for SketchUp product growth by Trimble. Spearheading data solutions with Python and SQL for actionable insights.
Responsibilities
- Spearhead the design and development of sophisticated data integration frameworks to consolidate diverse "big data" sources.
- Partner with product and engineering teams to define best practices for product instrumentation and maximize the value of data products.
- Architect automated processes and algorithms to cleanse and evaluate large datasets, ensuring our internal data products remain high-quality and trustworthy.
- Extract and communicate meaningful insights to business managers to enhance client services and drive product-led growth.
- Collaborate cross-functionally to identify and solve complex data analysis challenges across multiple domains.
Requirements
- 5+ years of experience in data engineering, architecture, or governance with a proven track record of managing data pipelines.
- Expert proficiency in Python and SQL for developing robust data solutions.
- Deep understanding of data lakes, columnar formats, ETL tools, and data quality standards.
- Bachelor’s Degree in Computer Science, Data Analytics, Engineering, or a related technical field.
- Strong critical thinking skills with the ability to work autonomously in a fast-paced environment.
Benefits
- Medical
- Dental
- Vision
- Life
- Disability
- Time off plans
- Retirement plans
- Paid Parental Leave
- Employee Stock Purchase Plan
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