Data Engineer, Digital Asset Market Making

Summary

Join our dynamic team at Keyrock, a leader in the digital asset market making space. We are committed to leveraging cutting-edge technology to provide liquidity and efficient trading solutions in the digital asset ecosystem. We are looking for a skilled Data Engineer to design, build, and maintain robust data pipelines that support our trading and analytics platforms.

Requirements

• 3+ years of experience as a Data Engineer or in a similar role within financial services, ideally with exposure to digital assets or cryptocurrency markets
• Proficiency in Python for data engineering tasks and automation
• Strong SQL skills for complex query design, optimization, and data modeling
• Experience with AWS services, specifically Lambda, Kinesis, RDS, S3, and IAM
• Hands-on experience with Terraform for infrastructure as code and managing AWS environments
• Familiarity with Clickhouse for handling large datasets and real-time analytics is highly desirable
• Experience with PostgreSQL for data warehousing and analytics
• Proficiency in shell scripting for automation and system operations
• Knowledge of best practices in data architecture, data security, and data governance

Responsibilities

• Design, implement, and maintain scalable and efficient ETL pipelines using Python and SQL to process and store large volumes of financial data
• Develop and optimize data models and schemas in PostgreSQL and Clickhouse to support complex queries and analytics
• Build and maintain real-time data streaming and processing systems using AWS Kinesis and Lambda
• Automate infrastructure management using Terraform for deploying and managing AWS resources, ensuring a secure and scalable environment
• Collaborate with trading and analytics teams to understand data requirements and ensure the availability and quality of data for decision-making
• Implement data monitoring and alerting mechanisms to proactively identify and resolve issues in data pipelines
• Write shell scripts to automate routine data processing tasks and system maintenance

Benefits

• A competitive salary package
• Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely