We're looking for a Software Engineer with a strong data background and deep platform-thinking to design, build, and enhance a scalable, efficient data platform.
You'll bring hands-on experience in data warehousing and analytics, and thrive on solving hard, large-scale data problems. If you're passionate about building production-grade platforms and want to make a lasting impact at scale, we'd love to talk to you.
Minimum Qualifications
Bachelor's degree or equivalent in Computer Science, Information Systems, or a related field.
4+ years of subsequent data engineering experience across the required skills including data warehousing, big data and analytics domains
Deep understanding and experience of working with high volume, high concurrency platforms
Writing Spark, Trino or Snowflake, Flink code, Python and SQL for large scale relational data warehouses and data lake platforms on the cloud.
Designing data pipelines for structured and semi-structured data.
Iceberg or open table format experience
Preferred Qualifications
Building highly scalable data engineering platform components and foundational tools in Python, Java, or Scala.
Deep experience working with AI models and tools such as Claude, building agents etc
Experience with large scale platform migration projects
Working with distributed frameworks including Apache Kafka and Apache Spark and Flink and knowledge of Cloud platforms and technologies