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Data Engineer (GCP & API)

Experis

 

Nashville, TN, USA

Posted On: 1 day ago
Experience: 5+ years
Availability: Onsite
Openings: 2
Category: Data Engineer
Tenure: No Preference/Any
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Description

Design, develop, and maintain scalable data pipelines and platforms on Google Cloud Platform.

This role is hybrid.

Responsibilities

  • Build and support APIs to enable rapid data insights and self-service analytics.
  • Implement automated workflows to optimize operational efficiency and data delivery SLAs.
  • Contribute to building a GCP-based ecosystem for enterprise-wide analysis of structured and unstructured data.
  • Collaborate with cross-functional teams to define data requirements and deliver solutions.
  • Maintain cloud-native development standards and CI/CD pipelines.

Required Skills

  • 5+ years of overall experience, including 4+ years in API development using Python FastAPI, Apigee, or similar frameworks.
  • At least 2 years of hands-on experience with GCP components: BigQuery, Cloud Run, Cloud Functions, and GKE.
  • Proficiency with data processing tools including Spark Streaming, Kafka, and SQL.
  • Strong understanding of cloud-native development and automation best practices.
  • Any Graduate degree.

Preferred Skills

  • GCP Cloud Professional Data Engineer certification.

Education

Any Graduate

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