Data Pipelines Support Engineer

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. 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 relentless 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 success. The impact here can be immediate due to our scale and the speed of our transformation. 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. Are you passionate about ensuring platform reliability in a fast-paced, global environment? Join our **Platform Reliability Engineering Team**, where you'll play a crucial role in supporting and optimizing our global data pipelines. This team operates 24/7 to maintain **Ingestion & Business Intelligence (BI) systems**, develop automation, and enhance observability. **What You'll Do**: - Provide **L1 support** for **500+ data pipelines**, including **Revenue Management Pipelines**. - Develop and maintain **infrastructure, automation, and monitoring tools** to reduce manual efforts and improve incident response times. - **Migrate and support Keboola pipelines** while integrating new technologies to improve platform reliability. - Collaborate with **Data Engineering, Cloud Support, Infrastructure, Finance Engineering, Product Teams, and external partners**. - Work in **rotational shifts** to ensure continuous system reliability and operations. **Key Responsibilities**: - **Monitor & troubleshoot** global data pipelines, ensuring quick incident acknowledgment and resolution within SLAs. - **Automate** observability, monitoring, and operational tasks for improved efficiency. - **Maintain infrastructure** supporting large-scale data pipelines. - **Lead migrations** to modern platforms like **Keboola**. - **Work cross-functionally** with Networking, Security, and Engineering teams to enhance platform reliability. **What You Bring**: **Technical Skills**: - Strong **Software Engineering background** with expertise in **automation & DevOps**. - Hands-on experience in **Data Engineering**, managing **large-scale data pipelines**. - Proficiency in **cloud platforms** (GCP preferred; AWS/Azure is a plus). - Knowledge of **Infrastructure as Code (IaC)** tools such as **Kubernetes, Terraform**. - Experience with **monitoring & alerting tools** (Prometheus, Grafana, Splunk, ELK, etc.). - Strong **Python, Shell Scripting**, or other programming language skills. - Familiarity with **ETL tools, Airflow, Keboola**, or similar data platforms. **Soft Skills**: - Strong **problem-solving** and **troubleshooting** skills. - Ability to collaborate in a **fast-paced, cross-functional** environment. - Good understanding of **incident management processes** and SLAs. - Strong analytical skills for **log analysis, alerts, and system metrics**. - Excellent **communication skills** to interact with internal and external stakeholders. **❗Work Schedule**: - **24/7 rotational shifts** to ensure system reliability. - **Shift Timings (UTC)**:16:30 - 00:30**: - Flexibility to work different shifts as needed.