Data Engineer for Observability Platform

1 week geleden

Leiden, Zuid-Holland, Nederland Swift Voltijd

We're looking for a skilled Data Engineer to join our Observability Platform team at Swift. As a Data Engineer, you will be responsible for enhancing the usage and increasing business value of our Observability Platform.

In this role, you will work closely with various teams and individuals across the globe to understand their observability needs and successfully implement solutions. Your contribution will be crucial in delivering a smooth and exceptional Service Observability experience for our internal users.

Key Responsibilities:

  • Support the onboarding of new teams and data sources to the observability platform
  • Enable sophisticated dashboards and guide internal users to optimize their data usage
  • Analyze, enrich and connect data to generate meaningful insights
  • Implement data quality checks and monitoring processes to ensure the accuracy, completeness, and timeliness of data ingested into the platform.
  • Optimize data pipelines for performance, scalability, and cost-effectiveness, leveraging ELK stack features and best practices.
  • Build and maintain applications (Java) to expose observability data for advanced usage
  • Stay updated on emerging technologies and best practices in data engineering, ELK stack, and JSON schema design, and apply them to enhance our observability platform.

We are searching for professional Data Engineers who are highly proficient in ELK (Elasticsearch, Logstash, Kibana) and DevOps tools like Jenkins, Git, and Ansible. Detailed knowledge of RHEL (Red Hat Enterprise Linux) and Kafka is needed. While a degree in a relevant field is vital, we recognize that equivalent experience can be just as valuable. Demonstrated success in implementing and/or supporting data engineering platforms is a must for this position.

Preferred qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3 years of experience in data engineering, with a focus on designing and implementing data pipelines and ETL processes using ELK stack (ELK data engineer certification is a plus).
  • Strong understanding of data modeling concepts and expertise in JSON schema design and validation, with experience in defining and maintaining complex data structures.
  • Familiarity with DevOps practices and tools for CI/CD and infrastructure as code (advanced Ansible, RHEL, Git, Jenkins).
  • Proficiency in programming languages such as Python, Java.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
  • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

We offer a competitive salary and benefits package, including medical, dental, vision, and life insurance, as well as a retirement plan. We give you the freedom to be yourself and create an environment where everyone's voice counts and where you can reach your full potential.

At Swift, we value diversity and inclusivity, and we strive to create a workplace where everyone feels welcome and supported. If you are passionate about data engineering and observability, and you want to join a team that is dedicated to innovation and excellence, we encourage you to apply for this exciting opportunity.

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