Senior Data Engineer

Work directly with trading desks to improve trading performance by ensuring data availability, breadth, and reliability. The role covers ETL pipelines, data warehouse architecture, data quality automation, analytical visualization, and scalable architecture for petabyte-scale trading data.

Responsibilities

• Work with traders to understand analytic needs and improve trading performance.
• Design and maintain modular data architecture for future analysis.
• Ensure high data quality for analytical trading datasets.
• Maintain data standards involving modular design, testing, and documentation.
• Maintain visual standards involving modular design, testing, and documentation.
• Ensure technical solutions are simple and scalable for future use cases.

Requirements

• Experience designing and developing big data warehouses and ETL pipelines.
• Proven knowledge of SQL and Python.
• Ability to integrate data across RDBMS, NoSQL, and Time Series platforms.
• Experience with Kafka, Kinesis, Pulsar, Flink, or Spark is a plus.
• Proficiency writing high-performance, scalable BigQuery queries.
• Excellent verbal and written communication, analytical, and problem-solving skills.