Groupon
Groupon is a platform that connects businesses with customers by offering deals and discounts on various services and products. It aims to revolutionize the way businesses market to and engage with their audience, emphasizing innovation, technology, and performance-driven culture. Groupon promotes a work environment that values agility, merit, and direct communication, fostering a culture where employees can make impactful decisions and significantly contribute to the company's transformation.
technology • local commerce • social media • marketing • community
Lead Data and Systems Engineer - Growth and Lead Acquisition
March 1
Airflow
Angular
BigQuery
Docker
ETL
Java
JavaScript
Kubernetes
Microservices
Postgres
Python
React
Spring
Spring Boot
SpringBoot
TypeScript
Vue.js
Groupon
Groupon is a platform that connects businesses with customers by offering deals and discounts on various services and products. It aims to revolutionize the way businesses market to and engage with their audience, emphasizing innovation, technology, and performance-driven culture. Groupon promotes a work environment that values agility, merit, and direct communication, fostering a culture where employees can make impactful decisions and significantly contribute to the company's transformation.
technology • local commerce • social media • marketing • community
📋 Description
• Architect, develop, and maintain microservices or stand-alone scripts for lead acquisition and data enrichment. • Flex between Java/Spring Boot, Python scripting, or TypeScript-based frameworks depending on project needs. • Own the entire lifecycle: from initial prototype to scalable, production-ready deployments. • Set up and maintain workflow orchestration using tools like Temporal, Airflow, or similar. • Design resilient pipelines for data scraping, transformation, deduplication, and enrichment. • Build in safeguards for data consistency and error handling, ensuring minimal downtime. • Integrate with various external APIs (e.g., Apify, web scraping solutions) and internal data warehouses (EDW, BigQuery). • Ensure data is enriched, cleaned, and deduplicated, leveraging advanced matching or ML-based algorithms. • Rapidly develop proof-of-concept solutions to validate business ideas. • Gather feedback from stakeholders, iterate quickly, and prepare for production deployment once validated. • Own the “fail fast, learn fast” approach—optimizing for both agility and reliability. • Containerize applications or scripts using Docker; collaborate on orchestration (Kubernetes, Docker Swarm, etc.). • Participate in CI/CD processes, ensuring automated builds, tests, and deployments. • Monitor and troubleshoot system performance, actively proposing optimizations. • Translate business objectives and lead-gen strategies into technical projects. • Partner with product managers, marketing, and sales stakeholders to refine requirements and roadmap. • Serve as the "go-to" technical advisor for anything related to lead data flows, from concept to final delivery. • Work with PostgreSQL or other relational databases to model entities, handle migrations, and tune performance. • Integrate BigQuery for large-scale data processing and analytics. • Explore advanced queries or analytics to enhance lead scoring and enrichment logic. • Implement secure coding patterns, data validations, and compliance measures for sensitive data. • Conduct code reviews, encourage testing automation, and champion clean coding standards. • If comfortable, contribute to or lead the development of a future UI in React, Angular, or Vue.js. • Collaborate with product and UX teams to ensure intuitive, seamless user interactions with lead data.
🎯 Requirements
• Comfortable with multiple programming languages (e.g., Java, Python, TypeScript). • Experience building RESTful APIs, data pipelines, and containerized microservices. • Proven track record of rapidly creating MVPs or PoCs and iterating into full production systems. • Familiarity with data manipulation at scale: scraping, ETL pipelines, schema design, and deduplication strategies. • Knowledge of workflow orchestration platforms (Temporal, Airflow, or similar). • Ability to understand growth objectives and translate them into actionable tech solutions. • Experience working directly with non-technical stakeholders (Sales, Marketing) and turning requirements into specs. • Comfortable making architecture decisions and justifying trade-offs to both technical and business teams. • Able to take initiative and drive features from concept to completion with minimal oversight. • Experience with DevOps practices, Kubernetes, or advanced container orchestration. • Familiarity with front-end frameworks (React, Angular, or Vue.js).
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