- 5+ years of hands-on experience combining Data Engineering with Software Engineering.
- Proven experience in Data Engineering using Databricks, Apache Spark, or Python.
- Strong proficiency in Web Development and backend engineering using .NET 6+.
- Hands-on expertise with cloud infrastructure setup and administration, preferably Microsoft Azure.
- Experience with automated CI/CD pipelines, Version Control (Git), Azure DevOps, and PowerShell scripting.
- Fluent English communication skills for working in an international environment.
,(Develop, enhance, and maintain end-to-end data applications, data engineering workflows, and cloud infrastructure features., Design and build data pipelines using Databricks alongside Azure data services., Develop backend solutions, RESTful APIs, and web services using .NET 6+., Build, maintain, and automate CI/CD pipelines using Git, Azure DevOps, and PowerShell scripting., Resolve data quality issues, troubleshoot system maintenance tickets, and ensure optimal operational performance across cloud systems., Perform system monitoring, logging, and diagnostics using Application Insights, Log Analytics, and API tools., Collaborate with international project teams and business stakeholders within an Agile framework.) Requirements: Python, Databricks, .NET, Spark, Agile