Data Engineer - Data Platform (f/m/x)

Architect Cloud Solutions: Lead the transition to a cloud-based data platform, innovating beyond our existing on-premise solutions.

Build & Engineer: Enable seamless migration and optimization of data flows using cutting-edge tools like Kafka, AWS S3, Snowflake, and Airflow.

Champion Data Governance: Establish rigorous data governance practices to ensure data integrity and regulatory compliance.

Collaborate Across Teams: Work with data scientists, business analysts, and IT staff within our vibrant data community to continuously advance our tech prowess.

Secure Performance: Develop a scalable, highly available data infrastructure with a keen focus on performance.

Optimize Costs: Manage infrastructure costs effectively while maintaining system excellence and reliability.

Proven Experience: 5+ years in software or data engineering, with significant expertise in building resilient data systems.

Technical Mastery: Proficiency in Python (or Java), SQL, and a deep understanding of cloud services architecture, focusing on AWS and Snowflake scalability and resilience.

Hands-On Expertise: In-depth experience with cloud-based data warehousing, especially Snowflake, and transformation frameworks like DBT. Real-time data streaming knowledge, including Kafka, is also essential.

Migration Expertise: Demonstrable success in moving complex data workflows to the cloud. Skilled in transforming Spark-based processes in Scala to run efficiently on Snowflake using Snowpark, or in re-engineering them into DBT jobs.

Governance Acumen: Solid command of data governance, encompassing data quality, cataloging, lineage, and compliance adherence.

Team Synergy: A team player eager to learn, share knowledge, and excel in English communication across the organization.