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Data Engineers - 20680, Stockholm

Veritaz AB • Stockholm

Tidsbegränsad anställningHeltid6 månader – upp till 12 månaderFast och rörlig lönNyss publicerad

Om tjänsten

Veritaz AB söker medarbetare till Stockholm. Arbetsförmedlingen klassar tjänsten som Infrastrukturspecialist, It i yrkesgruppen Ingenjörer och tekniker inom elektroteknik. Det här är en tidsbegränsad anställning. Anställningen varar mellan sex och tolv månader. Omfattningen är heltid. Lönen är delvis fast och delvis rörlig. Sista ansökningsdag är den 9 december.

Just nu finns 128 lediga jobb som Ingenjörer och tekniker inom elektroteknik i Stockholm på Platsannonser.se.

Veritaz AB annonserar just nu om 176 tjänster till.

Beskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Job Overview

Role Summary

Our client is seeking several Data Engineers for a long-term consulting assignment focused on building, maintaining, and operating production-grade data pipelines and data services in AWS. The assignment involves contributing to reliable, scalable data solutions within a modern cloud-based data platform.

Key Responsibilities

  • Design, build, and maintain production-grade data pipelines.
  • Develop and operate cloud-based data services in AWS.
  • Write reliable and maintainable Python code for data processing and pipeline development.
  • Support the stability, scalability, and ongoing operation of production data solutions.
  • Contribute to modern data platform capabilities using cloud-native infrastructure and orchestration technologies.

Technical Stack & Requirements

  • Python: Solid professional development experience.
  • AWS: Hands-on experience developing and operating cloud-based data solutions.
  • Data pipelines: Strong experience building and maintaining pipelines in production environments.
  • Advantageous technologies: Apache Spark, Apache Kafka, Apache Airflow, Terraform, Kubernetes, and Amazon EKS.
  • Experience with modern data platforms is considered beneficial.

Qualifications & Experience

Candidates should have strong practical experience with production data pipelines, solid Python development capabilities, and hands-on AWS expertise. Previous work with distributed data processing, event streaming, workflow orchestration, infrastructure as code, container orchestration, or modern cloud data platforms is advantageous.

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