NEWPosted 1 hour ago

Job ID: JOB_ID_7454

Job Description

We are looking for a skilled Full Stack Data Engineer to join our team. The role involves working with various technologies to build and maintain data pipelines and applications. The ideal candidate will have a strong understanding of coding languages, modern tech stacks, and DevOps practices.

Responsibilities:

  • Develop and maintain data pipelines and applications using Python, Pyspark, and SQL.
  • Build and manage front-end interfaces using Html, CSS, Javascript/Typescript, and Angular.
  • Implement and manage Restful APIs using Javascript and FastAPI.
  • Utilize workflow management tools like Composer/Airflow.
  • Work with BigQuery and Cloud Storage, including Google Cloud SDK.
  • Understand and implement IAM roles for security.
  • Deploy applications on Kubernetes.
  • Implement CI/CD pipelines using tools like GitHub Actions, ArgoCD, or CircleCI.
  • Work independently and drive project roadmaps forward.

Required Skills:

  • Coding Languages: Python, Pyspark, Html, CSS, Javascript/Typescript, Angular, SQL.
  • Development Architecture: Micro frontends (MFE), microservices, etc.
  • Tech Stack: Restful API (Javascript, FastAPI), Composer/Airflow, Bigquery, Cloud Storage (including Google Cloud SDK).
  • DevOps: Kubernetes, CI/CD tools (GitHub Actions, ArgoCD, CircleCI, etc.).
  • Must be able to work independently and drive project roadmap.

Special Requirements

Contract role. Must work independently and drive the project roadmap forward. No fake profiles.


Compensation & Location

Salary: $100,000 – $120,000 per year (Estimated)

Location: Dallas, TX


Recruiter / Company – Contact Information

Recruiter / Employer: TalnQ Inc

Email: adeesh@talnq.com


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