Data Engineer SDE II

Groupon’s mission is to become the daily habit in local commerce and fulfill our purpose of building strong communities through thriving small businesses by connecting people to a vibrant, global marketplace for local services, experiences, and goods. In the process, we’re positively impacting the lives of millions of customers and merchants globally. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. If you want to take more ownership of your career, then you're ready to be part of Groupon.

The Data Engineering team at Groupon is at the heart of all things “data”, working on designing and building the next-generation data pipelines for data-science/machine learning community users. Our mission is to empower data analysts & data-scientists across all business units to make better business decisions. This role offers a unique combination of skills in computer science (distributed systems, big data), cloud, scalable and high-performance production systems. 

Key Responsibilities

• Design, and implement the data pipelines providing access to large datasets and transforming power for data across the org

• Write complex but efficient code to transform curated data into business questions oriented datasets and data visualizations.

• Work with big data and distributed systems using technologies such as Spark, AWS/GCP, and Python.

• Actively contribute to the adoption of strong software architecture, development best practices, and new technologies. We are always improving the process of building software; we need you to help contribute.

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using open sources and GCP big data technologies

• Explore and learn the latest GCP technologies to provide new capabilities and increase efficiency

• Collaborate with Business Users, Infra Engineers , Data Scientists to recognize and help adopt best practices in data gathering and transforming big data

• Work with the team to discuss the technical design and development needs.

Preferred Qualifications

• Bachelor’s degree in computer science, mathematics, or a related technical field

• 3+ years of relevant employment experience in data engineering or related field

• At least 1 years of SPARK development experience

• At least 1 year experience with Airflow, NiFi, or Azkaban

• Strong in analytics skills.

• Clear understanding of testing methodologies and AWS/GCP cloud  services, such as bigQuery/Redshift, Storage, Clusters.

• Mastery to big data technologies (e.g. Hadoop, Hive, Spark )

• Excellence in technical communication and experience working directly with stakeholders

• Demonstrated ability to coordinate projects across functional teams, including engineering and product management

• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local ecommerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services.

Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings, always check our official careers website at grouponcareers.com.