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Platform Engineer, Data Platform id-6298

About the position

In this role, you will be developing, monitoring and improving our services, libraries and tools that operate on our data. This is an individual contributor role on the Data Platform team, part of the larger Data and Business team in our tech organization. You’ll have opportunities to work on high impact projects that improve data availability and quality, and provide reliable access to data for the analytics division and the rest of the business. You will help make our infrastructure more scalable, more reliable, and easier to use. You will be researching and implementing cutting-edge AI analytical technologies built on graphRAG and graph dbs.

Responsibilities

  • Create services and tools to help make the experience better for our data scientists, and create the abstractions they need to effectively use our data ecosystem
  • Utilize your knowledge of modern AI data stacks to turbocharge our analytics platform
  • Help us improve our Spark and Trino deployments to function well under load
  • Build services to ingest data into our warehouse and ensure it’s clean and consistent
  • Work on core pipelines that provide data lineage information as well as make sure that our data warehouse is GDPR compliant
  • Help enhance our Spark infrastructure and help develop libraries that improve the reading and writing of data and enhance user capabilities with UDFs
  • Provide ETL patterns that others can follow, abstractions to make working with data easier, and consult with other team members to create new data pipelines and improve them.

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Requirements

  • 4 or more years of relevant project experience with significant contributions
  • Built and maintained cutting-edge AI data infrastructure, bonus for working with graph DBs, knowledge graphs, or GraphRAG like systems
  • Exceptional coding and design skills, particularly in Go, Python, Scala or Java
  • Supported Spark clusters and know how to take advantage of Spark APIs as well as write SQL
  • Worked with streaming data and related technologies such as Kafka and Flink
  • Work autonomously and take ownership of projects
  • Understand how big data infrastructure works in the public cloud
  • Naturally curious and excited to dig in and understand how things work

Benefits

  • Competitive salary
  • Medical, dental, vision, and other benefits
  • Equity in the form of restricted stock units depending on employee and company performance.
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