Job Description

Company DescriptionVisa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.Role SummaryVisa is looking for a Hybrid Cloud Data Platform Engineer to strengthen our hybrid cloud-based data platform. This role requires expertise in designing and managing scalable data platforms that support critical business functions. The selected candidate will work on cutting-edge technologies in cloud environments and big data ecosystems, ensuring high performance, security, and reliability.This role provides an opportunity to work closely with cross-functional teams, including data scientists, analysts, and software engineers, to drive innovation and build next-generation data platforms.Key Responsibilitiesxe2x97x8f Develop, optimize, and manage large-scale big data platform compromising of Hadoop, S3, Spark, Hive, Trino and cloud-based data platforms to support business intelligence and analytics.xe2x97x8f Design and implement efficient data pipelines to integrate, process, and store large datasets from various sources.xe2x97x8f Enhance data reliability, integrity, and governance, ensuring compliance with security and regulatory standards.xe2x97x8f Work with cloud services (AWS, Azure, GCP) to architect scalable and cost-effective data solutions.xe2x97x8f Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform and CloudFormation.xe2x97x8f Monitor and improve system performance, resource utilization, and operational efficiency.xe2x97x8f Stay ahead of emerging trends in cloud technologies, big data processing, and AI-driven analytics.xe2x97x8f Provide technical guidance and mentorship to junior engineers and collaborate with other teams to enhance platform capabilities.This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.QualificationsBasic Qualification
xe2x97x8f2+ years of relevant work experience and a Bachelors degree, OR 5+ years of
relevant work experiencePreferred Qualification
xe2x97x8f5+ years of experience in cloud data platform engineering or big data platform
development.
xe2x97x8f Strong programming skills in Python, Java, or Scala for data processing and
automation.
xe2x97x8f Expertise in cloud computing platforms (AWS, Azure, GCP) with hands-on
experience in services like AWS Glue, EMR, Athena, Azure Synapse, and
Databricks.
xe2x97x8fExperience with big data technologies, including Hadoop, Spark, Hive, and
Presto.
xe2x97x8fKnowledge of data integration frameworks, ETL pipelines, and data lake
architectures.
xe2x97x8fFamiliarity with IaC tools like Terraform, CloudFormation, or Ansible.
xe2x97x8fStrong grasp of data security, governance, and compliance best practices.
xe2x97x8fExperience working in agile environments with modern CI/CD pipelines and
DevOps practices.
xe2x97x8fBachelor's or Master's degree in Computer Science, Data Engineering, or a
related field.Additional 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.

Visa