WHAT YOU’LL DO:

📍In this role, you will design and implement the key payment data models for various analytics, ML/AI solutions, and data-centric product features, which includes building batch/stream ETL pipelines for payment golden datasets, creating unified data monitoring and alerting system for operation excellence, and setting up the standard for payment data governance. 📍Successful candidates will be able to demonstrate an ability and history of thoughtfulness and curiosity in data modeling, pipelining, governance, and security. 📍The ideal candidate will have strong hands-on experience in designing, developing, and managing an enterprise-level data warehouse/lakehouse with complex interdependencies with a focus on high availability, scalability, accuracy, and latency. 📍Your customers will be mainly scientists, engineers, analysts, and product managers so how to empower them to be more self-serve and access high-quality data anytime easily are the key to success. 📍Design data integrations and data quality framework. 📍Coaching other engineers on best practices for designing and operating reliable systems at scale.

WHAT YOU'LL BRING:

📍5+ years’ experience in designing and developing enterprise data warehouse and engineering solutions that have supported massive workloads and data scale/volume 📍Experience working with cloud-based data platforms, such as Databricks (preferred), BigQuery, Redshift, etc. 📍Proven experience with various data modeling techniques 📍Solid understanding of data integration, quality, and governance 📍Proficiency in programming languages (Python, SQL), scripting languages (Bash, shell scripting), configuration management and/or provisioning tools (Terraform or CloudFormation), CI/CD technologies (Jenkins or GitLab), and version control tools like Git 📍Hands-on experience with building real-time systems and a good understanding of fundamental data science 📍Great communication skills both in written and verbal 📍Passionate about moving fast and fearlessly, solving challenging problems with no clear guidance, and working with people from different backgrounds and having different perspectives 📍Bachelor's degree in Computer Science, Engineering, or related field, equivalent training, or work experience