Senior Data Engineer, Unified Platform

Required

• 7+ years of experience working with modern data technologies and/or building data-intensive distributed systems.
• Expertise in Java and/or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL, Bash, and Linux environments.
• Experience building and operating managed data or infrastructure services offered to other teams, including operational automation and production support.
• Demonstrated ownership of engineering projects or service components from technical design through deployment and ongoing operation.
• Strong understanding of distributed systems trade-offs, including fault tolerance, concurrency, partitioning, and recovery from partial failures.
• Production experience with batch and streaming systems, including practical knowledge of state management, retries, replay, and data consistency.
• Experience with data processing or query technologies such as Flink, Spark, or ClickHouse, and the ability to evaluate their performance and operational trade-offs.
• Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka. Familiarity with open table formats such as Iceberg or Delta Lake.
• Practical experience with data modeling, schema governance and evolution, and data quality controls. Experience integrating metadata management, data cataloging, or lineage capabilities into data systems.
• Experience with data formats and serialization systems such as Arrow, Parquet, Protobuf, or Avro.
• Experience with cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring.
• Strong communication and problem-solving skills, with the ability to troubleshoot issues with platform users, collaborate across teams, prioritize competing work, and deliver in a fast-paced trading environment.