Develop and optimize cloud and data solutions
Contribute to the creation, maintenance and improvement of scalable and secure data pipelines
Integrate with cloud platforms in alignment with the client’s analytical needs
Write scalable, object-oriented Python code following best practices (PEP 8)
Work with SQL for data modeling, query optimization and integration with analytical systems
Use Databricks to manage clusters, notebooks and Delta Lake
Collaborate with technical and non-technical teams to facilitate communication and clarify requirements
Implement DevOps practices and deployment automation using GitHub and GitHub Actions
Ensure code quality and work in Agile environments

3 years of experience in similar roles
Advanced proficiency in Python with a focus on OOP, best practices (PEP 8), unit and integration testing, and code optimization
Experience with SQL for data modeling, query optimization and integration with analytical systems
Advanced knowledge of Spark and Spark Streaming for batch/stream processing and performance optimization
Experience with Databricks (notebooks, clusters, Delta Lake)
Solid knowledge of Azure ecosystem (preferred) or GCP
Experience with DevOps methodologies and CI/CD tools, especially GitHub and GitHub Actions
Ability to understand requirements and technical solutions
Strong communication skills with different audiences
Critical thinking and focus on continuous improvement
Strong delivery orientation, meeting deadlines and objectives
Ability to solve complex problems and analytical thinking

Mid-level Data Platform Engineer

Key skills