Data Engineer

Data Developer (Python/PySpark and Azure Databricks)- Remote (Romania, Poland or Portugal), 6 months

Skills/experience

• Proficiency in Python, PySpark/SQL, Databricks Jobs API, DataFrames, and unit/integration/e2e testing.
• Strong understanding and experience with OOP principles and practices (SOLID, DRY).
• Proven ability to write modular, testable, and maintainable code.
• Proven ability to design scalable, cost-effective, and high-performance solutions, including cluster sizing, optimization, and cost estimation.
• Deep understanding of modern data architecture, including medallion architecture and data warehousing concepts.
• Experience applying development practices such as code reviews, pair programming, logging and monitoring, and documentation.

Desirable

• Experience with core Azure services such as Databricks, KeyVault, Data Factory, Service Bus, Event Hub, and Data Lake Store Gen2.
• A DevOps mindset with a focus on automation, CI/CD, Infrastructure as Code, and Pipelines as Code.
• Experience working within Agile SCRUM/Kanban workflows.
• Experience building CI/CD and IaC Pipelines (yaml, ARM Templates, Terraform)
• Nice-to-have one or more recent Data Development Certifications

• Team player with strong collaboration and communication skills.
• Good proficiency in English, both written and verbal.

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