<h2><strong>Why Verifone</strong></h2> <p>For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.<br><br>Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.<br><br>Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.</p> <p><span data-teams="true">Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.</span></p> <h2><strong>What’s Exciting About the Role</strong></h2> <p><span data-contrast="none">Verifone is looking for a Data Platform Engineer to join our Platform Engineering team. Rather than being a single-technology specialist position, this is a unique opportunity to your generalist skillset to own and evolve a broad data platform that spans streaming pipelines, multiple database technologies, on prem and cloud infrastructure, and DevOps/SRE operational tooling.</span><span data-ccp-props="{"335559739":120}"> </span></p> <p><span data-contrast="none">We are looking for experience in core technologies including Kafka, Redis, Data Lake technologies and Cloud Engineering, with the opportunity to leverage other skills such as PostgreSQL, MySQL, MongoDB, SQL Server and more. You will design and operate end-to-end data pipelines that power new AI and analytics initiatives, migrate streaming services to Kubernetes, and build the automation and tooling that reduces operational toil across the team.</span><span data-ccp-props="{"335559739":120}"> </span></p> <p><em><span data-contrast="none">If you are energized by working across the full data stack—pipelines, databases, infrastructure, observability, and CI/CD—rather than going deep on a single technology, this role is built for you.</span></em><span data-ccp-props="{"335559739":240}"> </span></p> <h2><strong>Key Responsibilities</strong></h2> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Data Platform & Pipeline Development</span></span></strong><span data-ccp-props="{"335559738":200,"335559739":60}"> </span></p> <ul> <li><span data-contrast="none">Design, build, and optimize end-to-end data pipelines—streaming and batch—that serve Verifone’s AI, machine learning, and analytics initiatives.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Work with diverse data technologies and formats: streaming via Kafka, batch via ETL processes, file formats such as Parquet, and table formats such as Iceberg or Delta Lake.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Collaborate with data engineering and development teams to enforce best practices for data flow, schema design, security, scalability, and performance.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Continuously improve data pipeline reliability, latency, and throughput across the full SDLC.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Support and integrate AWS data tooling including Athena, Glue, Redshift, and S3-based data lake patterns.</span><span data-ccp-props="{}"> </span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Streaming Infrastructure (Kafka & Ecosystem)</span></span></strong><span data-ccp-props="{"335559738":200,"335559739":60}"> </span></p> <ul> <li><span data-contrast="none">Manage and support Apache Kafka clusters (including AWS MSK), Kafka Connect, and KSQL for high-throughput, fault-tolerant event streaming.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Handle day-to-day Kafka operations: offset management, lag monitoring, consumer group management, cluster rebalancing, and partition tuning.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Perform cluster maintenance: upgrades, configuration changes, scaling events, and health checks.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Drive incident response and root cause analysis (RCA) for streaming platform issues.</span><span data-ccp-props="{}"> </span></li> <li><span data-co