Senior Cloud Data Architect (GCP, Spark) - Remote

TechDigital Group

USA

Remote

USD 90.000 - 150.000

Vollzeit

14 Tage+
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Zusammenfassung

An innovative company is seeking a seasoned data engineer with extensive experience in cloud data engineering and building enterprise-scale data platforms. This remote role requires proficiency in GCP and a strong background in modern data processing technologies like Apache Spark and BigQuery. You will be responsible for architecting self-service data platforms and implementing microservices architectures using Kubernetes and Docker. Join a dynamic team that values collaboration and creativity, working Eastern US business hours to make a significant impact in the data landscape. If you're passionate about data and technology, this is the perfect opportunity for you.

Qualifikationen

  • 13-15 Jahre Erfahrung in Cloud-Datenengineering und Softwareentwicklung.
  • Erfahrung im Aufbau von selbstbedienten Datenplattformen in einer Microservices-Architektur.

Aufgaben

  • Entwicklung und Implementierung von End-to-End-Datenplattformen in GCP.
  • Architektur und Aufbau von Unternehmensdatenplattformen in einer grünen Umgebung.

Kenntnisse

Data Fabric
Big Data Processing
Apache Spark
Cloud Data Engineering
Software Engineering
End-to-End Data Platforms
GCP
SQL
Python
Microservices Architecture

Tools

BigQuery
Cloud Functions
Cloud Run
Dataform
Dataflow
Dataproc
Airflow
PubSub
Kubernetes
Docker

Jobbeschreibung

An innovative company is seeking a seasoned data engineer with extensive experience in cloud data engineering and building enterprise-scale data platforms. This remote role requires proficiency in GCP and a strong background in modern data processing technologies like Apache Spark and BigQuery. You will be responsible for architecting self-service data platforms and implementing microservices architectures using Kubernetes and Docker. Join a dynamic team that values collaboration and creativity, working Eastern US business hours to make a significant impact in the data landscape. If you're passionate about data and technology, this is the perfect opportunity for you.
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