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Senior Cloud Data Engineer

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Description

Seeking an experienced Senor Cloud Data Engineer (6+ years) to design, develop, and support scalable cloud-native applications and API platforms on AWS. The role involves building secure APIs, developing and optimizing ETL/ELT pipelines, implementing Infrastructure as Code using Terraform, and driving software engineering best practices. The candidate will provide technical leadership, mentor engineering teams, and ensure high-quality project delivery aligned with business objectives. Strong expertise in AWS, Python/PySpark, SQL, Databricks, API development, cloud architecture, and data engineering is essential, while experience with CI/CD, and DevOps practices is desirable.


Primary Skillset

  • AWS Cloud Services (Lambda, API Gateway, S3, ECS/EKS, CloudFront, ALB/NLB, IAM, KMS)
  • Python / PySpark
  • SQL
  • Databricks
  • API Development & Integration
  • API Security (OAuth 2.0, JWT)
  • Data Engineering (ETL/ELT Pipelines)
  • Infrastructure as Code (Terraform)
  • Cloud-Native Application Development
  • Software Architecture & Design

Secondary Skillset

  • OpenAPI / Swagger
  • CI/CD Tools (Jenkins, GitHub Actions, GitLab CI)
  • DevOps & Automation


Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

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