Platform Engineer

• Design and implement complex data pipelines and distributed systems using Spark and Python.
• Apply software engineering best practices: clean code, modular design, CI/CD, automated testing, and code reviews.
• Develop and maintain lakehouse capabilities with Delta Lake and Iceberg, ensuring reliability and performance.
• Enable analytics workflows by integrating dbt for SQL transformations running on Spark.
• Collaborate with internal teams to deliver curated datasets and self-service analytics capabilities.
• Optimize data warehousing solutions such as Databricks and Snowflake for performance and scalability.
• Implement observability and governance frameworks, including data lineage and compliance controls.
• Drive performance tuning, scalability strategies, and cost optimization across Spark jobs and cloud-native environments.

Advanced Distributed Data Platform Engineer

Power Platform Developer, AI & Automation, język niemiecki

Senior Distributed Data Platform Engineer

Lead Distributed Data Platform Engineer

Platform Engineer