Senior Data Platform Engineer (Data Lake, AWS, Spark)

Expedia

Greater London

On-site

GBP 70,000 - 110,000

Full time

10 days ago
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Job summary

Expedia Group is seeking a Senior Software Engineer to design, build, and operate our data lake platform in London. You will lead scalable, observable systems, drive reliability through SLIs/SLOs, and mentor engineers across teams.

You’ll work with AWS, Hadoop ecosystem, Spark and Hive, using Kotlin/Java on the JVM and collaborating with architects and stakeholders to deliver robust data capabilities in a fast-paced environment.

Qualifications

  • Proven experience as a senior software engineer building and operating production systems at scale.

Responsibilities

  • Design, build, and evolve scalable, observable software for the data lake platform.
  • Lead by example with clean, well-tested code and strong engineering practices.
  • Promote reliability goals and observability through SLIs/SLOs and incident learnings.
  • Partner with engineers and stakeholders to clarify requirements and deliver effectively.
  • Break down complex problems into pragmatic technical solutions, estimates, and plans.
  • Own services and platform capabilities through design, delivery, and production operation.
  • Lead the technical design of services supporting scale, resilience, and evolution.
  • Mentor engineers through technical guidance and collaboration.
  • Collaborate with architects and partner teams to benefit Expedia Group broadly.
  • Stay current with tech trends to improve the platform and developer experience.

Skills

Senior experience
Scale & reliability
Observability
Communication across stakeholders
Agile software development
Architectural decision making
Mentoring engineers
Problem solving

Tools

AWS
EMR
S3
Glue
Hadoop
Hive
Spark
JVM
Java
Kotlin

Job description

Expedia Group is seeking a Senior Software Engineer to design, build, and operate our data lake platform in London. You will lead scalable, observable systems, drive reliability through SLIs/SLOs, and mentor engineers across teams.

You’ll work with AWS, Hadoop ecosystem, Spark and Hive, using Kotlin/Java on the JVM and collaborating with architects and stakeholders to deliver robust data capabilities in a fast-paced environment.

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