Data Engineer

• Take ownership and execute tasks with a sense of entrepreneurship
• Collaborate with cross-functional teams across the company to own, implement, and scale the data and analytics infrastructure
• Create strong ELT data pipelines from a variety of data sources using custom code and off-the-shelf SaaS solutions
• Collaborate with internal stakeholders to design and create a corporate cloud data warehouse that multiple users can use at the same time
• Conduct quality assurance checks, clean, and merge various datasets for use by different downstream users while maintaining consistency across sources
• Automate multiple workstreams in performance reporting and due diligence to boost employee productivity while also providing them with regular access to new data and insights
• Create interactive dashboards and analytics tools for internal users
• Support in-production machine learning workloads with real-time data streaming, ingestion, and feature engineering
• Collaborate with the data science, acquisitions, and the brand management team to gather product requests and execute sprint planning

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a data engineer
• Demonstrable skills working with Python, R, and SQL
• Experience in creating ETL/ELT pipelines from numerous API endpoints from a technical data analytics or engineering function
• Working knowledge of BI and visualization software such as Tableau or Looker
• Ability to act as a technical translator and strong communication skills
• Fluent in English communication