📈 Opportunity in a company with a solid track record of performance

🤝 Opportunity to work with diverse, global teams

🚀 Rapid career advancement with opportunities to learn

💰 Competitive salary and Performance bonus

• Design, build, and optimize scalable ETL pipelines using Apache Airflow or similar frameworks to process and transform large datasets efficiently.
• Utilize Spark (PySpark), Kafka, Flink, or similar tools to enable distributed data processing and real-time streaming solutions.
• Deploy, manage, and optimize data infrastructure on cloud platforms such as AWS, GCP, or Azure, ensuring security, scalability, and cost-effectiveness.
• Design and implement robust data models, ensuring data consistency, integrity, and performance across warehouses and lakes.
• Enhance query performance through indexing, partitioning, and tuning techniques for large-scale datasets.
• Manage cloud-based storage solutions (Amazon S3, Google Cloud Storage, Azure Blob Storage) and ensure data governance, security, and compliance.
• Work closely with data scientists, analysts, and software engineers to support data-driven decision-making, while maintaining thorough documentation of data processes.

• Strong proficiency in Python and SQL, with additional experience in languages such as Java or Scala.
• Hands-on experience with frameworks like Spark (PySpark), Kafka, Apache Hudi, Iceberg, Apache Flink, or similar tools for distributed data processing and real-time streaming.
• Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure for building and managing data infrastructure.
• Strong understanding of data warehousing concepts and data modeling principles.
• Experience with ETL tools such as Apache Airflow or comparable data transformation frameworks.
• Proficiency in working with data lakes and cloud based storage solutions like Amazon S3, Google Cloud Storage, or Azure Blob Storage.
• Expertise in Git for version control and collaborative coding.
• Expertise in performance tuning for large-scale data processing, including partitioning, indexing, and query optimization.

NomuPay is a newly established company that through its subsidiaries will provide state of the art unified payment solutions to help its clients accelerate growth in large high growth countries in Asia, Turkey, and the Middle East region. NomuPay is funded by Finch Capital, a leading European and South East Asian Financial Technology investor. Nomu Pay has acquired WireCard Turkey on Apr 21, 2021 for an undisclosed amount.

Founders

Peter Burridge, CEO

Investor, board member, and strategic executive, Peter has more than 30 years of management and leadership experience at rapid growth technology companies. His unique hands-on approach to business development and corporate governance has made him a trusted advisor and authority in the enterprise software industry and the financial technology sector. As President of Hyperwallet, Peter guided the organization through a successful recapitalization, followed by global expansion and the ultimate sale of the business to PayPal. Peter is a recognizable figure in the San Francisco fintech community and global payments industry. Peter has previously served in leadership roles at Oracle, Siebel, Travelex Global Business Payments, and as an investor and advisor in the technology sector. Outside the office, Peter’s passions include racing cars, golf and rugby union.