Job description
Company Description
Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.
Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.
Pismo’s 500+ employees are located in more than 10 countries around the world.
Job Description
The squad is responsible for developing analytics, AI, and machine learning products at Pismo. We are the team that supports the company’s data-driven decision-making and enables other teams to work effectively with data.
What you’ll do
- Design, build and maintain scalable and automated data pipelines
- Support analytics and machine learning workflows across different teams
- Implement and manage infrastructure as code using Terraform
- Ensure data quality, security, and governance throughout our systems
- Optimize data workflows for performance and cost efficiency
- Collaborate with cross-functional teams to model data for business intelligence and strategic insights
- Orchestrate data pipelines using tools like Airflow
This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.
Qualifications
- For this role, you must be based in Brazil
Minimum qualifications
Language Skills:
- Proficiency in English at B1 level (Intermediate)
Technical Skills:
- Advanced SQL skills for manipulating and analyzing large-scale datasets
- Proficiency in Python focused on automation, data analysis, and API integrations
- Strong experience with Databricks, including notebooks, Delta Lake, and integrations
- Solid knowledge of AWS services:
- Glue (serverless ETL)
- Athena (serverless SQL queries)
- S3 (data storage)
- Lambda (serverless function execution)
- Hands-on experience with Terraform for infrastructure as code
- Proficient in Git for version control and team collaboration
- Strong understanding of BI and data modeling for visualization and strategic analysis
- Experience with data orchestration tools (e.g., Airflow)
- Background working with high-volume data and performance-focused environments
- Familiarity with modern data architecture (e.g., Data Lakehouse, medallion architecture)
Nice to have
- Experience with Machine Learning and AI tools such as:
- AWS Bedrock (generative and foundational models)
- AWS SageMaker (ML model creation, training, and deployment)
- Knowledge of DataOps practices and CI/CD pipelines for data workflows
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
