Temedica

Data Engineer

Temedica

full-time

Posted on:

Location Type: Hybrid

Location: München • Germany

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonSQLTerraform

About the role

  • Design, deploy and optimize data pipelines for structured and unstructured data
  • Ensure data observability within the ecosystem with automated monitoring solutions
  • Engage in collaboration with a cross-functional team of data professionals
  • Drive the development of prototypes and proofs of concept

Requirements

  • 3+ years of professional experience in Data Engineering or Data Warehousing
  • Hands-on experience with cloud architecture and cloud technologies such as GCP, AWS or Azure
  • Extensive experience implementing automated solutions and applying best coding practices
  • Strong knowledge of SQL, Python, dbt and Git commands
  • Proven track record of working with IaC tools (e.g Terraform, CloudFormation) and CI/CD pipelines
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
Data EngineeringData WarehousingSQLPythondbtGitInfrastructure as Code (IaC)TerraformCloudFormationCI/CD
Soft Skills
collaborationcommunication