Data Engineer - Remote

Overview

Macropay is a fintech leader in payment orchestration, providing businesses with seamless access to global payment solutions for over four years. Specializing in revenue optimization, we offer card processing and alternative payment methods enhanced by smart routing, fraud prevention, and an intuitive dashboard. Backed by a team of payment and fraud experts, our all-in-one platform is designed to maximize revenue, reduce costs, and improve the payment experience—all through a single API integration.

In Short

• Design, build, and maintain scalable cloud-based data pipelines.
• Work closely with product owners and data scientists.
• Architect and implement Kafka-based streaming pipelines.
• Process event streams and orchestrate data ingestion jobs on AWS.
• Define best practices for data ingestion and lineage.
• Collaborate with analytics teams to fulfill data requirements.
• Implement monitoring to ensure data stream integrity.
• Automate infrastructure management tasks.
• Stay updated on data architecture trends.
• Ensure data quality and performance.

Requirements

• Experience with AWS services like S3, Glue, EMR, and Lambda.
• Proficiency in Kafka and real-time data processing.
• Strong understanding of ETL/ELT workflows.
• Knowledge of Snowflake as a data warehouse.
• Experience with monitoring tools like CloudWatch or Prometheus.
• Familiarity with Terraform and Ansible for automation.
• Ability to troubleshoot data workflows.
• Understanding of data security and compliance.
• Experience with disaster recovery planning.
• Strong problem-solving skills.

Benefits

• Opportunity to work in a leading fintech company.
• Collaborative work environment.
• Access to cutting-edge technology.
• Professional growth and development opportunities.
• Flexible working arrangements.