2 days ago Be among the first 25 applicantsFounded 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.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 DescriptionThe 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 doDesign, build and maintain scalable and automated data pipelinesSupport analytics and machine learning workflows across different teamsImplement and manage infrastructure as code using TerraformEnsure data quality, security, and governance throughout our systemsOptimize data workflows for performance and cost efficiencyCollaborate with cross-functional teams to model data for business intelligence and strategic insightsOrchestrate data pipelines using tools like AirflowThis 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.QualificationsFor this role, you must be based in BrazilMinimum qualificationsLanguage Skills:Proficiency in English at B1 level (Intermediate)Technical Skills:Advanced SQL skills for manipulating and analyzing large-scale datasetsProficiency in Python focused on automation, data analysis, and API integrationsStrong experience with Databricks, including notebooks, Delta Lake, and integrationsSolid 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 codeProficient in Git for version control and team collaborationStrong understanding of BI and data modeling for visualization and strategic analysisExperience with data orchestration tools (e.g., Airflow)Background working with high-volume data and performance-focused environmentsFamiliarity with modern data architecture (e.g., Data Lakehouse, medallion architecture)Nice to haveExperience 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 workflowsAdditional InformationVisa 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.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionOtherIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Pismo by 2xSign in to set job alerts for “Insights Analyst” roles.We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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