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Keyrock
Data Engineer Digital Asset Market Making
atĀ Keyrock
9 days ago | 60 views | 3 applications

Data Engineer Digital Asset Market Making

Full-time
Remote
Per year
$112,000 To $156,000

About the company

Founded in Belgium in 2017, Keyrock are cryptocurrency market makers building scalable, self-adaptive algorithmic technologies to support efficient digital asset markets. Through a combination of in-house algorithmic trading tools, high-frequency trading infrastructure and industry expertise, Keyrock provides unparalleled liquidity services to tokens, exchanges and brokerages within the cryptocurrency ecosystem. Keyrock operates with the vision of democratizing cryptocurrency liquidity through a strict dedication to transparency, operational integrity and regulatory compliance.

Job Summary

Job description

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

Background and experience

šŸ“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. šŸ“Proficiency in Python for data engineering tasks and automation. šŸ“Strong SQL skills for complex query design, optimization, and data modeling. šŸ“Experience with AWS services, specifically Lambda, Kinesis, RDS, S3, and IAM. šŸ“Hands-on experience with Terraform for infrastructure as code and managing AWS environments. šŸ“Familiarity with Clickhouse for handling large datasets and real-time analytics is highly desirable. šŸ“Experience with PostgreSQL for data warehousing and analytics.

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