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.

Job description

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

Background and experience

1. 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.
2. Proficiency in Python for data engineering tasks and automation.
3. Strong SQL skills for complex query design, optimization, and data modeling.
4. Experience with AWS services, specifically Lambda, Kinesis, RDS, S3, and IAM.
5. Hands-on experience with Terraform for infrastructure as code and managing AWS environments.
6. Familiarity with Clickhouse for handling large datasets and real-time analytics is highly desirable.
7. Experience with PostgreSQL for data warehousing and analytics.
8. Proficiency in shell scripting for automation and system operations.
9. Knowledge of best practices in data architecture, data security, and data governance.
10. Strong problem-solving skills and ability to work in a fast-paced, dynamic environment.
11. Excellent communication skills and ability to work collaboratively with cross-functional teams.

Competences and personality

1. Experience in the digital asset or cryptocurrency trading industry.
2. Familiarity with financial market data, trading systems, and algorithms.
3. Experience with other data processing and visualization tools like Apache Kafka, Spark, and Sisense.

Skills

• Analytical Thinking
• AWS
• Communications Skills
• Cryptocurrency
• Database Management
• Problem Solving
• SQL
• Team Collaboration