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Ny Data Engineers - 20680
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Arbetsbeskrivning

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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Publicerad 2026-11-09
Antal platser 1
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