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Data Engineer

Fintech leader in payment orchestration providing businesses with global payment solutions through a single API integration.
Data
Senior Software Engineer
Remote
5+ years of experience
Finance

Description For Data Engineer

Macropay, a leading fintech company specializing in payment orchestration, is seeking a skilled Data Engineer to join their team. This role offers an exciting opportunity to work with cutting-edge technologies in a fully remote environment. As a Data Engineer, you'll be responsible for designing and maintaining scalable, secure data pipelines supporting real-time and batch analytics within their payments platform.

The position involves working with modern technologies including Kafka, AWS services, and Snowflake data warehouse. You'll collaborate closely with product owners, data scientists, and cross-functional engineering teams to translate business requirements into robust data models and ETL/ELT workflows. The role requires expertise in building real-time processing applications, implementing monitoring systems, and ensuring data quality and security.

This is an excellent opportunity for an experienced engineer looking to make an impact in the fintech space. The company offers a comprehensive benefits package, professional development opportunities, and the chance to work with a collaborative, inclusive team. You'll be at the forefront of payment technology innovation, working on solutions that directly impact global payment processing and business optimization.

The ideal candidate will bring strong technical skills in Java/Python, extensive experience with cloud services (particularly AWS), and a deep understanding of distributed systems. If you're passionate about building robust data infrastructure and want to contribute to the future of financial technology, this role offers the perfect blend of challenge and opportunity.

Last updated 13 days ago

Responsibilities For Data Engineer

  • Define and enforce best practices for data ingestion, cataloging, and lineage across cloud infrastructure
  • Develop and maintain real-time processing applications using Kafka
  • Collaborate with development and analytics teams
  • Develop efficient and scalable data pipelines
  • Implement monitoring and alerting mechanisms
  • Optimize performance and efficiency of data infrastructure
  • Automate infrastructure management using tools like Terraform, Ansible
  • Monitor and troubleshoot data workflows
  • Ensure data quality and performance
  • Define and test disaster recovery plans

Requirements For Data Engineer

Java
Python
Kafka
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years of professional experience
  • 3+ years of programming experience with Java / Python
  • Experience in data engineer design with cloud based data Warehouse technologies
  • Development with cloud services, especially Amazon Web Services
  • Experience in designing and implementing data pipeline architectures based on Kafka
  • Deep understanding of distributed systems and high availability design principles
  • Experience in building and optimizing data pipelines
  • Excellent communication and teamwork skills
  • Ability to independently and proactively solve problems

Benefits For Data Engineer

  • Competitive salary and comprehensive benefits package
  • Opportunity to shape HR strategy for a global, innovative fintech company
  • Professional development opportunities and resources
  • A collaborative, inclusive, and dynamic work culture
  • Full Remote Work

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