Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on
Life at Coupa blog and hear from our employees about their experiences working at Coupa.
The Impact of Lead Software Engineer - Analytics & Data to Coupa:
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What You'll Do:
Design, build, and maintain highly scalable and efficient data pipeline architectures, ensuring seamless data integration and high availability. Lead the optimization of Spark clusters, implement advanced monitoring, and proactively identify and resolve performance bottlenecks for continuous improvement. Orchestrate the assembly and delivery of large, complex datasets that align with critical business requirements, while automating data processes and significantly enhancing data delivery efficiency. Architect robust data extraction, transformation, and loading (ETL) infrastructure using SQL and advanced AWS big data technologies, developing sophisticated analytics tools to drive actionable business insights. Spearhead collaboration with cross-functional teams to resolve complex data-related issues, ensure stringent data security across AWS regions, and empower data scientists to optimize advanced product functionalities.
What You Will Bring to Coupa:
8-12 years of comprehensive Data Engineering experience, with deep expertise in big data technologies (Spark, Kafka), cloud platforms (AWS), and data pipeline management tools (Airflow, Luigi). Possesses an advanced degree in a quantitative discipline. Expert in SQL, relational database management, query optimization, and understanding of diverse database systems. Extensive experience managing and optimizing Spark clusters for large-scale data processing, performance tuning, and insightful monitoring. Proven ability to design and implement scalable data warehouse solutions, API development using REST or GraphQL, and robust support for analytical and reporting requirements. Highly skilled in analytical problem-solving, root cause analysis, and optimization of complex data processes across structured and unstructured datasets. Proficient in building and managing data ingestion pipelines, integrating data from various sources. Experience with implementing data governance and quality control measures. Skilled in using AI/ML for data classification, harmonization, and predictive analytics. Ability to architect and manage cloud-native analytics platforms with high performance and scalability. Expertise in building API-centric data infrastructures with secure and efficient APIs for data operations. Demonstrated ability in microservice orchestration, monitoring, and alerting for data platforms.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
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