Senior Data Engineer - Remote

Overview

The company provides cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets.

In Short

• Design and develop data team microservices using Java on Kubernetes.
• Tackle data duplication, velocity, schema adherence, and high availability.
• Develop and maintain end-to-end ETL workflows.
• Enrich financial data through third-party data integrations.
• Improve data storage and serving methods.
• Communicate integrations with other teams for insights creation.
• Work in a dynamic and ambitious company environment.
• Be accountable and organized with a self-starter attitude.
• Handle day-to-day work beyond official scope while focusing on goals.
• Conduct ongoing improvements for optimized data consumption.

Requirements

• Proficient in building robust, scalable, maintainable data pipelines.
• Expert in ETL and databases.
• Competent in communication skills.
• Experience with cloud environments.
• Familiarity with data warehousing and information security is a plus.
• Knowledge of Big Data, Spark, and AWS is beneficial.
• Proficient in monitoring and Python.
• Ability to work with various data sources.
• Experience with data governance and schema versioning.
• Strong problem-solving skills.

Benefits

• Opportunity to work in a cutting-edge technology environment.
• Engagement in meaningful projects that impact financial markets.
• Collaboration with a talented and ambitious team.
• Professional growth and development opportunities.
• Flexible working conditions.
• Competitive salary and benefits package.
• Supportive company culture.
• Access to advanced tools and technologies.
• Commitment to excellence in patient care and research.
• Involvement in innovative projects.