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πŸ“‹ Description

  • Design, build, and maintain automation pipelines for workload packaging, validation, testing
  • Collaborate with data engineers and other engineering teams to operationalize workloads within the
  • Develop and maintain integrations connecting data ingestion, storage, and downstream service
  • Build reusable, composable, version-controlled infrastructure-as-code constructs and modules using
  • Establish versioning, reproducibility, and lineage tracking for pipeline artifacts and
  • Define and automate monitoring, alerting, and remediation strategies for deployed services and

🎯 Requirements

  • 6+ years of professional experience in software engineering, data engineering, or a related
  • 3+ years of hands-on experience implementing and maintaining production pipelines and
  • Strong proficiency in Python and solid software engineering fundamentals, including testing, code
  • Hands-on experience with AWS services such as Step Functions, Lambda, ECR, S3, Glue, IAM, and
  • Strong understanding of CI/CD and containerization technologies, particularly Docker, with
  • Proven experience developing reusable and testable infrastructure-as-code constructs using

🎁 Benefits

  • Annual salary range of USD $124,750 – $178,215.
  • Fully remote work arrangement.
  • Opportunity to work within a distributed Agile environment.
  • Hands-on involvement with AWS, DevSecOps, data lakehouse infrastructure, automation, and modern
  • Opportunity to contribute to platform standards, security, governance, observability, and
  • Opportunities to mentor junior engineers and collaborate with multidisciplinary engineering teams.
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