Posted:
6/13/2024, 5:00:00 PM
Location(s):
Prague, Czechia ⋅ Leinster, Ireland ⋅ Valencian Community, Spain ⋅ Dublin, Leinster, Ireland ⋅ Masovian Voivodeship, Poland ⋅ Capital City of Prague, Prague, Czechia ⋅ Madrid, Community of Madrid, Spain ⋅ Valencia, Valencian Community, Spain ⋅ Community of Madrid, Spain
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Software Engineering
Workplace Type:
Remote
Groupon is an experienced marketplace that brings people more ways to get the most out of their city or wherever they may be. By enabling real-time mobile commerce across local businesses, live
events, and travel destinations, Groupon helps people find and discover experiences––big and small, new and familiar––that make for a full, fun, and rewarding life. Groupon helps local businesses grow and strengthen customer relationships––resulting in strong, vibrant communities. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking, and celebrates success.
At Groupon, we know that great people make great companies. We're a "best of both worlds" kind of company. We're big enough to have the 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.
The Data Ingestion team at Groupon is at the heart of all things “data”, working on defining and building the next-generation cloud-based solutions to ingest and curate petabytes of data into our data lake and data warehouse. Our mission is to empower data analysts & data scientists across all business units to make informed business decisions. This role offers a unique combination of skills in computer science (distributed systems, big data) and scalable, high-performance production systems.
You’ll spend time on the following:
Design and develop high-volume batch / streaming data ingestion pipelines and frameworks spanning AWS and GCP data platforms.
Conceive, code, and launch the next-generation data ingestion and curation platforms
Participate in defining the requirements, system, and data architectural discussions
Technically lead and mentor junior engineers for best practices in software development and data engineering lifecycle.
Collaborate with cross-functional agile teams of software engineers, data engineers, ML experts, Data Analysts, and others in building new product features
We’re excited about you if you have:
BS/MS in Computer Science, with 5+ years of experience in distributed systems, data engineering, software engineering, or equivalent professional experience
Strong coding skills in a language such as Python and Java,
Experience with SQL and NoSQL databases (Teradata, MySql, Postgres, Cassandra, Elasticsearch, HBase, etc.)
Familiarity with UNIX command line
Experience in big data technologies like Apache Spark, Hadoop, Hive, etc.
In-depth experience in dealing with, and understanding, and troubleshooting ETL, data lineage, data leaking, overall data quality issues, backfills, etc. Can drive and lead independent resolution, communication, and follow-ups.
Experience in batch and streaming data pipelines
Experience in both software development and data engineering
Experience in AWS or GCP Cloud technologies , specially related to data processing at scale.
Designing, implementing, and supporting production services with tight SLAs
Excellent written and oral communication skills
A clear understanding of testing methodologies, CI/CD, and other industry best practices
Rigor and robustness in coding and design, thorough understanding of performance trade-offs.
Passion for building data platforms, a desire to go into uncharted territory with bold new ideas, and a willingness to go the last mile on execution
Nice to Haves:
Experience with Airflow, Apache Kafka
Knowledge of Scala
Experience with HBase and Redis cache
Experience in Google Data Streams, Google Dataproc
Experience with change data capture (CDC) technologies
Modern data warehouse technology like Delta lake is nice to have.
Experience with Delta Lake and Hudi frameworks
Experience developing distributed applications with central logging, metrics, monitoring, and alerting tools such as Elasticsearch and Wavefront.
We value engineers who are:
Customer-focused: We believe that doing what’s right for the customer is ultimately what will drive our business forward.
Obsessed with Quality: Your code just works & scales linearly
Team players:. You believe that more can be achieved together. You listen to feedback and also provide supportive feedback to help others grow/improve.
Fast learners: We are willing to disrupt our existing business to trial new products and solutions. You love learning how to use new technologies and then rapidly apply them to new problems.
Pragmatic: We do things quickly to learn what our customers desire. You know when it’s appropriate to take shortcuts that don’t sacrifice quality or maintainability.
Owners: Engineers at Groupon know how to positively impact the business.
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.
Website: https://www.groupon.com/
Headquarter Location: Chicago, Illinois, United States
Employee Count: 5001-10000
Year Founded: 2007
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: E-Commerce ⋅ Internet ⋅ Retail ⋅ Social Media