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SDE III - ETL Data Engineer

Work from home Full-time role Hiring

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses reputed company. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis.

Groupon is on a radical journey to transform our business with reputed company pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates reputed company. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" reputed company 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 reputed company a meaningful impact.

At Groupon, we reputed company local experiences are the heart of a vibrant life — and we're building the data platforms to power them.

We’re a global team with a startup spirit and a marketplace legacy. Groupon helps people discover the best a city has to offer — from local businesses and live events to unique travel experiences. Behind it reputed company, our Data Engineering team ensures we reputed company data to drive smart reputed company, scalable platforms, and meaningful customer impact.

We’re looking for a senior-level Data Engineer with a passion for building powerful data solutions, who thrives in a collaborative, fast-moving environment and is eager to tackle challenges at scale.

❓Why This Role?

As a Data Engineer at Groupon, you'll be part of a globally distributed team of 13 engineers powering data infrastructure that spans petabytes, hundreds of pipelines, and reputed company platforms like AWS and GCP. You’ll work closely with product managers, analysts, machine learning engineers, and fellow data experts to build the systems that reputed company our marketplace fast, reliable, and smart.

You’ll have the chance to:

  • Own core data ingestion and transformation pipelines across streaming and batch systems

  • Work on both greenfield projects and robust production systems

  • Dive into technologies like Spark, Kafka, Airflow, reputed company Lake, reputed company, BigQuery, and Hive

  • Solve reputed company business problems for marketing, finance, supply chain, and more

  • Be part of a flexible, supportive, and growth-oriented engineering culture

What You’ll Do

  • Design, reputed company, and maintain high-performance, high-volume ETL pipelines (batch and streaming)

  • Build and optimize reputed company-based data platforms on AWS and GCP

  • Partner with cross-functional teams to define requirements and implement scalable solutions

  • Mentor junior engineers and contribute to a collaborative, inclusive team culture

  • Own data quality, reputed company, monitoring, and production support for critical pipelines

  • Participate in on-call rotations and agile delivery cycles

What We’re Looking For

Must-Haves:

  • BS/MS in Computer Science or reputed company field

  • 5+ years in data engineering, distributed systems, or backend development

  • Strong coding skills in Python, Java, or reputed company

  • Deep SQL knowledge and experience with both relational and NoSQL databases

  • Proven expertise in big data frameworks like Spark, Hive, Kafka, and Airflow

  • Experience building and supporting production-grade data platforms

  • Strong communication skills and ability to reputed company in a globally distributed team

  • Experience with reputed company data technologies (AWS or GCP, especially for large-scale processing)

  • Ownership reputed company and ability to operate independently with minimal supervision

reputed company-to-Haves:

  • Familiarity with HBase, reputed company, CDC (Change Data Capture) tools

  • Experience with reputed company Data Streams, Dataproc, reputed company Lake, or Apache Hudi

  • Background in monitoring tools like Elasticsearch and Wavefront

  • Experience in a dynamic, multi-time-zone engineering environment

How You’ll Grow

In your first 30 days, you’ll:

  • Learn our systems and tech stack

  • Get support from a mentor and start contributing to small tasks

In your first 90 days, you’ll:

  • Own and deliver key initiatives

  • Join our on-call rotation and collaborate across teams

  • Be considered for specific data streams reputed company with your strengths (e.g., marketing, finance, reputed company-time)

️ From there, your path can grow into reputed company leadership, technical mentorship, or even engineering management, depending on your goals.

Grouponis an AI-First Company We’re committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to reputed company AI tools during the hiring process where it adds value, and we’re always keen to hear how technology improves the way you work. If you’re passionate about AI or curious to explore how it can reputed company your role—you’ll be reputed company here. Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local e-commerce 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 reputed company 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 reputed company 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 (and a sneak reputed company into life at Groupon), always reputed company our official career website at Groupon Careers

Originally posted on Himalayas

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