DNA Proximus Pyspark Spark

You will be responsible for building robust performing and highly scalable flexible data pipelines with a focus on time to market with quality. As a member of the team, you will ensure high code quality, unit testing, regression tests, and timely delivery within budget. Moreover, documenting the delivered code solution and participating in the implementation of releases following change release management processes will be key aspects of your role. Additionally, you will provide support to the operation team in case of major incidents requiring engineering knowledge, participate in effort estimations, and provide solutions and bug fixes for problem management. Key Responsibilities: - Build robust performing and highly scalable flexible data pipelines with a focus on time to market with quality - Ensure high code quality, unit testing, regression tests, and timely delivery within budget - Document the delivered code solution - Participate in the implementation of releases following change release management processes - Provide support to the operation team in case of major incidents requiring engineering knowledge - Participate in effort estimations - Provide solutions and bug fixes for problem management Qualification Required: - Proficiency in Python for Big Data Analytics - Experience with Spark for Big Data Data Processing,