Senior Data Engineer, Mission Control
hace 9 horas
Shift4 is revolutionizing commerce by simplifying complex payment ecosystems worldwide. As a leader in commerce-enabling technology, we power billions of transactions annually for hundreds of thousands of businesses across various industries. For more information, visit our website.
About the RoleWe are seeking a highly skilled Data Engineer to join our Mission Control team. As a key member of this team, you will design, build, and deploy data systems and applications for the Mission Control Center. Your expertise will be instrumental in building data pipelines from internal Shift4 systems, engineering applications and use cases for unique Mission Control operations, and developing action-oriented workflows for operators to execute end-to-end actions within the platform.
Responsibilities- Utilize Palantir Foundry software to engineer data pipelines, perform ETLs, and transform data into high-quality user applications for monitoring and engaging all aspects of the Shift4 business.
- Collaborate with users, perform testing cycles, and push new products and features to the Mission Control platform suite.
- Utilize data tools such as SQL and Pyspark to craft data pipelines and build front-end user interfaces to interact with data objects.
- Build APIs and configure writebacks and webhooks to synchronize front-end user interfaces with back-end data objects. Connect disparate source systems and collaborate with stakeholders and Mission Control engineering team to ensure functionality.
- Write data automations using rules, alerts, or other common data engineering tools to build automated workflows that simplify the user experience.
- Write and design user acceptance tests for Mission Control systems and utilize AIP technology to create use cases for AI tools.
- Create consumable technical documentation for users to understand complex technical details.
- Draft one-pagers and presentations for Shift4 Executive leadership review when necessary.
- 5+ years of experience in Data Engineering Development.
- 3+ years of experience using data tools such as Python, Apache, AWS, or others.
- Bachelor's degree in a relevant field (Engineering, Analytics, Computer Science, etc) or experience in lieu of a degree.
- Previous experience with network configurations and message brokering systems such as Apache Kafka.
- Experience architecting and building front-ends with quality UX that adhere to fundamental back-end workflows.
- Experience with ERP systems, real-time and near-real-time data, and monitoring software such as Splunk, Datadog, or Grafana.
- Past work utilizing a variety of data systems such as MySQL, Postgres, SSMS, and Java-based applications.
- Masters degree in a relevant technical field.
- Personal experience building and leading a team utilizing operational software systems, including Epsilon3, First Resonance ION, or other data-heavy systems.
- Experience with real-time, time-series data and creation of workflows around data indicators.
- Experience with operational fundamentals such as corrective action reporting, non-conformances, inventory management, and data governance.
- Object-Oriented programming language experience is highly desirable.
- Experience with one of the following platforms: Palantir Foundry, Mulesoft.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
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