Staff Data Engineer

The Risk and Identity Solutions (RaIS) team provides risk management services for banks merchants and other payment networks. The Predictive Fraud Intelligence (PFI) team develops core AI/ML products within the Visa Protect suite empowering clients to detect and prevent fraud throughout the payment lifecycle. The MLOps and Data Engineering team designs and operates the platforms pipelines and tooling that enable the core product teams to build deploy and iterate on models quickly. This group provides the scalable data foundations modelorchestration frameworks and automated workflows required to keep frauddetection models continuously updated against emerging fraud schemes and new attack vectors.

Were looking for candidates who are passionate about building highperformance data systems and who thrive on the challenge of working with petabytescale datasets. If you have experience designing efficient resilient pipelines optimizing distributed data processing and enabling realtime insights from massive complex data flows we want to meet you. This role is an opportunity to apply deep dataengineering and MLOps expertise to a missioncritical domainempowering frauddetection models that protect the entire payment lifecycle.

This is a great opportunity to be part of a Data Engineering and MLOps team that is set out to scale and structure large scale data engineering and ML/AI that drives significant revenue for Visa. As a member of the Predictive Fraud Intelligence MLOps team based out of Bangalore your role will involve

• Building and maintaining reliable data pipelines that deliver highquality data across the product lifecycle Product development to client support.
• Developing platforms that support rapid model experimentation training evaluation versioning and deployment.
• Creating automated monitoring systems for data drift model performance and operational health to ensure models stay accurate as fraud patterns evolve.
• Partnering closely with AI/ML researchers and product teams to reduce time from model concept to production.
• Ensuring compliance security and traceability across the full ML lifecycle to meet financialindustry standards.
• Providing selfservice tooling and infrastructure that enables data scientists to iterate quickly while maintaining operational excellence.

You must be a hands-on expert able to navigate both data engineering and data science disciplines to build effective engineering solutions that support ML/AI models.

The position is based at Visas offices in Bangalore India.

What success looks like

• You consistently design and deliver systems that scale to petabytes of data with high reliability low latency and efficient resource utilization.
• You provide the architectural direction for the platforms influencing longterm technical strategy and raising the engineering bar across the organization.
• You proactively identify gaps in data quality platform capabilities and system resilience and lead crossteam efforts to close them.
• You mentor engineers across multiple teams shaping best practices in distributed systems pipeline design and machinelearning operations.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Qualifications :

• 8 yrs. work experience with a bachelors degree or 6 years of work experience with a Masters or Advanced Degree in an analytical field such as computer science statistics finance economics or relevant area. With relevant experience in handling big data on-premises as well as on cloud.
• Deep understanding of Hadoop ecosystem and associated technologies and good knowledge of cloud analytical solutions available.
• Strong expertise in designing and operating largescale data pipelines (batch and streaming) that process terabytes to petabytes of data.
• Deep proficiency with distributed dataprocessing frameworks such as Spark Flink Beam or similar.
• Solid command of data storage technologies (Delta Lake Iceberg Hive BigQuery Redshift or equivalent).
• Working experience with cloudbased dataprocessing systems (AWS EMR Dataproc Glue Dataflow Snowflake BigQuery Redshift Databricks or equivalent).
• Strong programming skills in Python Scala or Java with a focus on building reliabe production systems.
• Handson experience with orchestration and workflow tools (Airflow Dagster equivalent).
• Proficiency in containerization and orchestration (Docker Kubernetes).
• Experience implementing CI/CD pipelines for data and ML workloads.
• Understanding of dataquality frameworks lineage observability and monitoring (Great Expectations Deequ Monte Carlo Databand or similar).
• Practical knowledge of cloud platforms (AWS GCP or Azure) and cloudnative data systems.
• Demonstrated ability to leverage AI and automation tools in daytoday engineering workflows to increase efficiency and reduce operational overhead.
• Experience working in fraud detection risk scoring payments or other highintegrity complianceheavy domains.
• Familiarity with featurestore design and operations (Feast Tecton or custom implementations).
• Exposure to realtime inference architectures and streamingbased model deployment.
• Experience with modern MLOps platforms and tooling (MLflow Kubeflow SageMaker Vertex AI or equivalent).
• Experience optimizing cost efficiency at scale (storage formats compute tuning autoscaling caching strategies).
• Ability to influence architecture across multiple teams and drive longterm platform strategy.
• Strong communication skills for partnering with data scientists product leaders and engineering leadership.
• Experience mentoring senior engineers and shaping engineering culture.
• Understanding of and interest in Generative AI large language models and how they apply to data engineering MLOps and developer productivity.
• Strong experience in end-to-end analytics on any public cloud (preferably AWS)

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.

Remote Work :

No

Employment Type :

Full-time