О компании
Mercedes-Benz.io develops software and technology for Mercedes-Benz digital platforms, including the worldwide Mercedes-Benz Website, an e-commerce platform, digital services, and aftersales solutions. Its Data Operations Hub drives the transformation towards a unified and efficient data ecosystem for Mercedes-Benz Digital Marketing and Sales.
Задачи
•Design and build scalable data pipelines to clean, integrate, and transform large datasets
•Create data processing infrastructure that ensures high-quality data availability for digital analysts and data scientists
•Develop data solutions using Azure Data Factory, Databricks, and Data Lake Storage
•Develop dimensional data models and maintain data warehousing solutions for analytics and reporting
•Write efficient, well-tested Python and SQL code for large-scale data processing
•Develop and optimize PySpark code and SQL queries using a deep understanding of Spark internals
•Collaborate with data analysts and stakeholders to understand business requirements and support data-driven decision-making
•Monitor data quality and implement data management best practices to meet data governance standards
•Support the deployment, monitoring, and maintenance of machine learning pipelines and production data solutions
•Improve platform performance, scalability, and reliability through automation and engineering best practices
Требования
•3 to 5 years of hands-on software engineering experience building, maintaining, and optimizing data pipelines
•Experience with object-oriented programming, test-driven development, CI/CD, and version control
•Proficiency in PySpark and SQL, including query optimization and understanding of Spark internals
•Strong Python programming skills for data processing, automation, and scalable data engineering
•Expertise in Azure, including Databricks, Data Factory, Azure DevOps, and Data Lake Storage
•Experience with dimensional data modelling and data warehousing principles
•Strong analytical and problem-solving skills, including troubleshooting complex data challenges
•Excellent communication skills and ability to work effectively with technical and non-technical stakeholders
•Collaborative mindset and ability to thrive in a fast-paced, team-oriented environment
Будет плюсом
Kubernetes and Docker, Google Analytics data, machine learning deployment and monitoring, large-scale cloud-based data platforms and modern analytics environments
Условия
•Flexible hybrid work model, with an average of one day per week in the office
•Open-source software
•No top-down hierarchy; self-organization is trusted
•Smart, driven, and collaborative colleagues
•Open-minded and informal culture backed by a global brand
•Health insurance and life insurance
•International training and conference opportunities for self-development
•Take-home challenge, if applicable, as part of the hiring process
