Staff Data Engineer

Visa is hiring a Staff Data Engineer in IN - Bengaluru.

Requirements

5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred qualifications

5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 8+ yrs. work experience with a bachelor’s degree or 6+ years of work experience with a Master's 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 large‑scale data pipelines (batch and streaming) that process terabytes to petabytes of data. Deep proficiency with distributed data‑processing 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 cloud‑based data‑processing 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. Hands‑on 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 data‑quality frameworks, lineage, observability, and monitoring (Great Expectations, Deequ, Monte Carlo, Databand, or similar). Practical knowledge of cloud platforms (AWS, GCP, or Azure) and cloud‑native data systems. Demonstrated ability to leverage AI and automation tools in day‑to‑day engineering workflows to increase efficiency and reduce operational overhead. Experience working in fraud detection, risk scoring, payments, or other high‑integrity, compliance‑heavy domains. Familiarity with feature‑store design and operations (Feast, Tecton, or custom implementations). Exposure to real‑time inference architectures and streaming‑based model deployment.

About Visa

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – t