Staff Data Engineer, Data Engineering

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

Requirements

5 or more 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

Preferred qualifications

6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, Python, Pandas etc.), Open table formats (e.g. Iceberg) Big Data Technologies: Advanced experience with Hadoop ecosystem (HDFS, Hive, Spark, EMR). Proficiency in building scalable ETL/data pipelines using tools like Apache Airflow, Oozie, or similar orchestration frameworks Programming & Scripting: Strong coding skills in Python and SQL for data processing, transformation, and analytics. Data Architecture & Modeling: Expertise in designing and implementing large-scale, multi-dimensional data architectures. Knowledge of data modeling concepts for both structured and unstructured data. Data Quality & Governance: Experience implementing data quality frameworks, versioning, and governance practices. Ability to ensure data reliability, integrity, and compliance with internal/external standards. Data Visualization & Reporting: Proficiency with visualization tools (Tableau, Power BI, D3) for presenting data insights to stakeholders. Production Systems & Performance Optimization: Experience creating/supporting production-grade software/systems. Proven track record of identifying and resolving performance bottlenecks in data pipelines and systems. Collaboration & Communication Tools: Familiarity with collaboration platforms (MS Teams, Slack, Confluence, Jira) for stakeholder engagement Version Control & CI/CD: Experience with code management and version control systems (git). Knowledge of CI/CD pipelines for data engineering and ML workflows GenAI: Experience in leveraging Generative AI to enhance data engineering workflows Cloud Platforms: Hands-on experience with cloud data platforms (AWS, Azure) for storage, compute, and data pipeline management. 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.

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