Python Developer

About Us:

MatchMove, a Singapore's homegrown fintech leader, where innovation meets opportunity. As a pioneer in digital payments, we empower businesses and individuals across the world with our embedded, secure and seamless solutions. Having expanded our ecosystem through the acquisition of Shopmatic, a leading e-commerce solutions provider, we now offer a platform for entrepreneurs and businesses to grow online. Embracing the spirit of continuous learning and productivity, we foster a culture of collaboration, creativity, and growth. Our team thrives on solving real-world problems, exploring new technologies, and pushing boundaries. By joining us, you'll not only shape the future of fintech but also explore the intersection of payments and e-commerce, gaining expertise in two rapidly evolving industries. If you're passionate about innovation, committed to lifelong learning, and eager to drive business growth, we invite you to grow with us. Seize this chance to build a fulfilling career, drive innovation, and contribute to Singapore's vibrant fintech and e-commerce ecosystem.

Are You The One

As a Senior Software Engineer on our Data Platform team, you will build the backbone of our data infrastructure that powers critical business insights and automates regulatory reporting for our payments platform. You’ll work on distributed, scalable, and highly reliable data pipelines, enabling efficient data processing at scale. You will play an integral role in shaping our data strategy, ensuring data governance and compliance while supporting key stakeholders across the organization.

You will get to:

• Design, build, and maintain high-performance data pipelines that integrate large-scale transactional data from our payments platform, ensuring data quality, reliability, and compliance with regulatory requirements.
• Develop and manage distributed data processing pipelines for both high-volume data streams and batch processing workflows in a cloud-native AWS environment.
• Implement observability and monitoring tools to ensure the reliability and scalability of the data platform, enabling stakeholders to make confident, data-driven decisions.
• Collaborate with cross-functional teams to gather requirements and deliver business-critical data solutions, including automation of payment transactions lifecycle management, regulatory reporting, and compliance.
• Design and implement data models across various storage paradigms to support payment transactions at scale while ensuring efficient data ingestion, transformation, and storage.
• Maintain data integrity by implementing robust validation, testing, and error-handling mechanisms within data workflows.
• Ensure that the data platform adheres to the highest standards for security, privacy, and governance.
• Provide mentorship and guidance to junior engineers, driving innovation, best practices, and continuous improvement across the team.
  
  

Requirements:

• 4-6 years of experience in backend development and/or data platform engineering.
• Proficiency in Python, with hands-on experience using data-focused libraries such as NumPy, Pandas, SQLAlchemy, and Pandera to build high-quality data pipelines.
• Strong expertise in AWS services (S3, Redshift, Lambda, Glue, Kinesis, etc.) for cloud-based data infrastructure and processing.
• Experience with multiple data storage models, including relational, columnar, and time-series databases.
• Proven ability to design and implement scalable, reliable, and high-performance data workflows, ensuring data integrity, performance, and availability.
• Experience with workflow orchestrators such as Apache Airflow or Argo Workflows for scheduling and automating data pipelines.
• Familiarity with Python-based data stack tools like DBT, Dask, Ray, Modin, and Pandas for distributed data processing.
• Hands-on experience with data ingestion, cataloging, and change-data-capture (CDC) tools.
• Understanding of DataOps and DevSecOps practices to ensure secure and efficient data pipeline development and deployment.
• Strong collaboration, communication, and problem-solving skills, with the ability to work effectively across multiple teams and geographies.
• Experience in payments or fintech platforms is a strong plus, particularly in processing high volumes of transactional data.
  
  

MatchMove Culture:

• We cultivate a dynamic and innovative culture that fuels growth, creativity, and collaboration. Our fast-paced fintech environment thrives on adaptability, agility, and open communication.
• We focus on employee development, supporting continuous learning and growth through training programs, learning on the job and mentorship.
• We encourage speaking up, sharing ideas, and taking ownership. Embracing diversity, our team spans across Asia, fostering a rich exchange of perspectives and experiences.
• Together, we harness the power of fintech and e-commerce to make a meaningful impact on people's lives.
• Grow with us and shape the future of fintech and e-commerce. Join us and be part of something bigger!
  
  

Personal Data Protection Act:

By submitting your application for this job, you are authorizing MatchMove to:

• collect and use your personal data, and to disclose such data to any third party with whom MatchMove or any of its related corporation has service arrangements, in each case for all purposes in connection with your job application, and employment with MatchMove; and
• retain your personal data for one year for consideration of future job opportunities (where applicable).