Senior Platform Engineer (f/m/d)

- Cross-Functional Collaboration: Partner with stakeholders across business units to translate complex requirements into robust data-driven technical solutions, integrating data engineering and software development. - Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on Python/Pyspark/Snowpark for development and integration. - Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. - Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). - Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and monitoring, ensuring high-quality deliverables. - Quality Assurance: Conduct rigorous testing, including unit, integration, and user acceptance testing (UAT), to ensure reliability, performance, and scalability of data systems. - Operational Excellence: Monitor and optimize production environments using observability tools and implement CI/CD pipelines for continuous delivery using tools like Azure DevOps.