Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Senior Data Engineer at Husqvarna Group maintaining data pipelines and ensuring data quality in a hybrid environment. Collaborating with teams to enhance data solutions across cloud platforms and fostering innovation in data management.
Responsibilities
- Monitor and operate pipelines to ensure reliability, performance and cost-efficiency
- Own security and backups across cloud accounts and environments
- Build and maintain pipelines, run proof-of-concepts, evaluate new tools, and help squads solve development, security and operational issues
- Manage and maintain Databricks: workspace governance, infrastructure, access patterns and guardrails
- Ensure data quality, metadata completeness, and consistent application of privacy/PII policies across the Data Mesh
- Create and maintain platform architecture for all things Data Mesh
Requirements
- Strong practical experience using Python in data engineering contexts
- Building and maintaining big-data pipelines (e.g., PySpark)
- Integrating with external REST APIs
- Setting up and maintaining CI/CD pipelines; solid DevOps mindset
- Strong understanding of Git
- Hands-on experience with AWS (e.g., CloudFormation, ECS, S3) and exposure to Azure services
- Familiarity with Terraform, Databricks Asset Bundles or AWS CloudFormation
- Experience applying privacy/PII rules, data quality checks and metadata standards at scale
Benefits
- Flexible working environment
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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