Job Description
Data & Analytics - Data Engineer (all genders)
Seniority experienced
Working mode hybrid
Position Type full-time
Gender all genders
Start date asap
Data & Analytics
Your Tasks
- Collaborate with data scientists, analysts, and product owners to build reliable, maintainable pipelines and products
- Design, build, and operate Databricks pipelines using Python, Lakeflow Declarative Pipelines, and Jobs/Workflows
- Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases
- Ensure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments
- Manage platform costs and pipeline performance.
- Support establishment of standards, reusable templates, and documentation for group-wide use
Qualifications
- Degree in Computer Science, Software Engineering, Data Engineering/Data Sc...
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