Data Engineer - Python Programming

As a Data Engineer at our company, you will be responsible for the following tasks: - Build and maintain scalable data pipelines using Apache Spark (Scala) - Design and implement cloud-native solutions on Google Cloud Platform (GCP) - Develop backend components using .NET (C#) - Create reusable and efficient code using Python - Work with relational databases, especially PostgreSQL - Follow CI/CD best practices, write automated tests, and work with Git - Collaborate in Agile (Scrum/Kanban) teams The ideal candidate for this role should possess the following qualifications: - 5+ years of experience in Data Engineering - 3+ years with Spark-Scala - 5+ years in Python development - Strong experience in .NET (C#) backend development - Hands-on with GCP and its data services - Proficient in working with PostgreSQL or similar databases - Solid understanding of OOP and clean code principles - Experience with Git, CI/CD pipelines, and automated testing (integration, delta, load, performance) As a Data Engineer at our company, you will be responsible for the following tasks: - Build and maintain scalable data pipelines using Apache Spark (Scala) - Design and implement cloud-native solutions on Google Cloud Platform (GCP) - Develop backend components using .NET (C#) - Create reusable and efficient code using Python - Work with relational databases, especially PostgreSQL - Follow CI/CD best practices, write automated tests, and work with Git - Collaborate in Agile (Scrum/Kanban) teams The ideal candidate for this role should possess the following qualifications: - 5+ years of experience in Data Engineering - 3+ years with Spark-Scala - 5+ years in Python development - Strong experience in .NET (C#) backend development - Hands-on with GCP and its data services - Proficient in working with PostgreSQL or similar databases - Solid understanding of OOP and clean code principles - Experience with Git, CI/CD pipelines, and automated testing (integration, delta, load, performance)