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Senior Data Engineer
Husqvarna GroupSenior Data Engineer enhancing Husqvarna Group's data capabilities through data engineering and platform governance. Focusing on building scalable data solutions with a team of experts in an agile environment.
Tech Stack
Tools & technologiesAWSAzureCloudPySparkPythonTerraform
About the role
Key responsibilities & impact- Monitor and operate pipelines to ensure reliability, performance, and cost-efficiency
- Own security and backups across cloud accounts and environments
- Build and maintain data pipelines, run proof-of-concepts, evaluate new tools, and assist squads in solving issues
- Manage and maintain Databricks, ensuring workspace governance and infrastructure management
- Ensure data quality, metadata completeness, and adherence to privacy policies across the Data Mesh
Requirements
What you’ll need- 5+ years of experience in data engineering
- Strong practical experience using Python in data engineering contexts
- Experience with Databricks and building big-data pipelines (e.g., PySpark)
- Familiar with integrating external REST APIs
- Knowledge of Azure DevOps for CI/CD pipelines
- Strong understanding of Git
- Hands-on experience with AWS services (e.g., CloudFormation, ECS, S3)
- Familiarity with Infrastructure as Code (IaC) using Terraform or AWS CloudFormation
Benefits
Comp & perks- Health insurance
- Flexible working hours
- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
Data Pipeline DevelopmentBig Data PipelinesPySparkREST API IntegrationAzure DevOpsGitCloudFormationECSS3Terraform