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Data DevOps Engineer

External
betsson logoBetsson · Budapest, Hungary
Full-timeOn-site3d ago
AirflowAWSCI/CDDockerGitGitHub
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Requirements

  • Solid experience with Infrastructure as Code (IaC) tools, especially Terraform .
  • Experience in creating and managing CI/CD pipelines (e.g., Github Action, AWS CodePipeline).
  • Deep knowledge of version control tools and workflows with GIT.
  • Experience in automation scripting with Python, AWS CLI, Spark.
  • Knowledge of AWS services automation and management.|
  • Familiarity with the AWS data ecosystem ( S3, Glue, Lambda, Redshift, Snowflake ).
  • Familiarity with orchestrators like Airflow .
  • Familiarity with data streaming technologies such as Kafka .
  • Knowledge of monitoring and visualization tools ( Prometheus, Grafana, CloudWatch ).
  • Basic knowledge of containerization (Docker, Kubernetes).
  • Excellent verbal and written English communication skills.
  • University Degree in Computer Science, Engineering or equivalent
  • At least 2 years of experience in DataOps, DevOps, or infrastructure automation
  • Excellent verbal and writing English communication skills
  • Good learning mindset
  • Able to set priorities and multitask

Benefits

Fitness-wellness allowance 🧗♂️Company mobile phone for private use with 100 GB 📱Annual HUF devaluation compensation 💡Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠Private Health Insurance 🩺Career development 📈Technical and soft-skill training opportunities 🎓Breakfast, fruits & lunch 🍎Team building events 🥳Challenge accepted?If you are interested to learn more, please apply with your CV in English.By submitting your application, you understand that your personal data will be processed as set out in our Privacy PolicyHealth insuranceVision insurance

Additional Information

The Wow This role will design and implement the automation of our data platform. The focus will be on enabling and optimizing the data lifecycle by applying DevOps practices, such as Infrastructure as Code (IaC) , CI/CD , and GitOps , to ensure the efficiency, reliability, and speed of our data deliveries. A taster of what you will be involved with: Develop and maintain the data platform's infrastructure using Terraform . Implement and manage CI/CD pipelines for the automation of data and ai processes and pipelines. Automate the provisioning, configuration, and monitoring of resources in AWS . Apply GitOps principles to manage configurations and deployments. Ensure the security, scalability, and resilience of the infrastructure through automation. Collaborate with Data Engineers to optimize the data development lifecycle (DDLC). Own the automation and infrastructure of orchestration tools like Airflow . Document the automation architecture and deployment processes.

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