Data Engineer (Food Delivery sphere)

Our client is the nation’s leading online and mobile food ordering company, dedicated to connecting hungry diners with their favorite local restaurants. The people who work there are the company’s greatest asset; each person plays an integral part in building tools and technology that help restaurants succeed, and in cooking up fresh new ways to delight diners.

The company’s online and mobile ordering platforms allow diners to order directly from more than 55,000 takeout restaurants in over 1,100 U.S. cities and London.

As a member of the Experimentation group, you will partner with a diverse team of experts across technology, business, and data science to mature the company’s culture of experimentation.

We’re looking for someone with solid experience and understanding of big data technologies. In this role, you will be responsible for ingesting a high volume of data and transforming them into outputs to accelerate decision-making.

• Building highly scalable pipelines to process high-volume experiment data for reporting and analytics consumption;
• Designing data assets that support experimental and organizational processes, and are efficient and easy to work with;
• Collaborating with engineers, data scientists, product managers, and business teams to make sure data products are aligned with organizational needs;
• Partnering with data scientists to research and implement statistical techniques in a low-latency, scalable fashion;
• Partnering with the ML platform team to build tooling around experimentation;

• Strong SQL (Spark SQL, Presto) skills;
• 3+ years of experience with Python or another object-oriented programming language;
• Exposure to cloud computing (AWS, Azure, or GCP);
• Experience with data modeling and managing data transformation jobs with high volume and timing requirements;
• Familiarity with PySpark or another JVM-based data processing tool;
• Strong ability to collaborate with cross functional teams, including communicating effectively with people of varying levels of technical knowledge;
• Bachelor’s degree in Computer Science or relevant working experience;
• Enthusiasm for the job. Are you excited about data? Do you love your users? Good, the same goes for us!