Can taking care of petabytes of data really help local businesses grow?

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.

As a global company that works with both local businesses and consumers, Groupon has a wealth of data, which is tucked away in our Enterprise Data Warehouse. Learn more about the technical teams that call Chicago Engineeringhome.

As a Data Engineer, you will handle the full development life-cycle of Groupon data applications. By collaborating with data analysts, data scientists, product managers, and other data engineering teams, our Data Engineers avail significant data products for the business and enable consistently informed management decisions. You will build both batch and streaming data ingestion and metrics calculation processes, as well as design and develop storage and retrieval mechanisms for efficient reporting.

We're a "best of both worlds" kind of company. We're big enough to have resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. We're curious, fun, a little intense, and kind of obsessed with helping local businesses thrive. Does that sound like a compelling place to work?

You’ll spend time on the following:

• Work with data, analytics pros, and product managers to strive for greater functionality in our data systems.

• Analyze and translate functional specifications and change requests into technical designs.

• Design, develop, and implement streaming and near-real time data pipelines that feed systems that are the operational backbone of our business.

• Execute unit tests and validating expected results; iterating until test conditions have passed

• Ensure accuracy & integrity of data and applications through analysis, coding, writing clear documentation and problem resolution.

• Identify and remediate issues impacting data pipelines.

• Take care of the tools, techniques and components being used in the industry through research and apply this knowledge to the system(s) being developed.

• Mentor and develop more junior engineers

We’re excited about you if you have:

• Bachelor’s degree

• You have hands-on experience with the full range of designing, developing, testing, and implementing low-latency big data pipelines

• You have 5 years’ experience using Object Oriented Languages, such as Scala, Python, Java.

• You have 3 years’ experience and working knowledge of Lambda and Kappa architecture in a cloud environment (AWS, Google, Azure)

• You have a deep understanding of SDLC, Agile methodologies, metadata, data modeling, and designing databases

• Working knowledge on Linux/Unix Operating systems

• Strong scripting skills - Python (a huge plus), Bash , Shell etc.

• You're super comfortable with Gitflow

• Bonus points if you bring real world experience with AWS (EMR, E2, Kinesis, S3)

Groupon provides a global marketplace where people can buy just about anything, anywhere, anytime. We’re enabling real-time commerce across an expanding range of categories including local businesses, travel destinations, consumer products, and live or lively events. At the same time, we are providing advertising options and tools that merchants can use to grow and manage their businesses. Culturally, we believe that great people make great companies and that starting with the customer and working backward moves us forward. Community matters to us on an internal, local and global scale—it’s fundamental to our company’s growth and to the well-being of the world at large. We also value self-awareness, candor, lunch and WiFi. If we match with you, please apply to join us.