AWS Python Developer

Tech3pillars Technologies

  • NULL, AZ
  • 7 days ago

    Highlights

    Work Locations: Hartford, CT 06103 / Raleigh, NC 27617 / Richardson TX 75082 / Tempe, AZ 85281 . Experience with Git, GitLab, Jenkins, GitHub Actions, or AWS-native CI/CD tools.

    Numbers & Facts

    LocationNULL, AZ

    Description

    Data Engineer AWS python Developer

    Work Locations: Hartford, CT 06103 / Raleigh, NC 27617 / Richardson TX 75082 / Tempe, AZ 85281
    Interview Process (Is face to face required?) Yes

    Hybrid Role: 3 days onsite per week - Mandatory
    Minimum years of experience: 6-8 years

    Job Details:
    7+ years of full-stack software development experience.
    Strong hands-on development experience with:
    Python, including FastAPI or Flask
    Java and Spring Boot
    Angular, TypeScript, JavaScript, HTML, and CSS
    Experience developing RESTful APIs, microservices, serverless applications, and event-driven solutions.
    Strong experience with AWS cloud development and deployment.
    Experience with Python, PySpark, SQL, and data engineering or data analysis.
    Experience with Amazon Redshift, PostgreSQL/Aurora, Oracle, RDS, or DynamoDB.
    Experience with Git, GitLab, Jenkins, GitHub Actions, or AWS-native CI/CD tools.
    Experience with Docker, Kubernetes, ECS/EKS, Terraform, or CloudFormation.
    Knowledge of automated testing frameworks and practices.
    Understanding of application security, observability, performance optimization, and enterprise production support.
    Strong problem-solving, communication, collaboration, and code-review skills.
    Ability to work independently and within cross-functional teams.

    Nice to have:-
    Experience with GitHub Copilot or other generative AI development tools.
    Knowledge of Amazon Bedrock, Claude Sonnet, prompt engineering, guardrails, or GenAI evaluation.
    Experience with Amazon Neptune, Gremlin, SPARQL, or Graph APIs.
    Knowledge of R programming.
    Experience with Karate, JUnit, Testcontainers, pytest, or similar testing frameworks.
    Familiarity with OpenTelemetry, CloudWatch, Datadog, or comparable observability tools.
    Knowledge of OAuth 2.0, OIDC, JWT, and enterprise data-governance practices.
    Financial services, mortgage, secondary-market, or Fannie Mae project experience.

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