Company Description 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 to you to your community and to the world Progress starts with you Visa s future is powered by data Our ability to responsibly harness data will shape our strategies products policies and long term growth As part of this mission Visa is accelerating its data driven capabilities with a bold vision led by Visa s first Chief Data Officer and the Global Data Office GDO The GDO leads high impact company wide initiatives in data strategy data investments policy development and marketplace execution working closely with Technology Privacy and all global lines of business We are committed to advancing innovation while upholding Visa s Data Values and ensuring trusted privacy centric use of data worldwide Within the Global Data Office the Information Consumption Product Team is responsible for building optimizing and scaling Visa s unified data platform the foundation that powers analytics AI ML decisioning systems and data driven products across the organization Our team partners with engineering product and business stakeholders to deliver secure scalable high quality capabilities that support internal and external data consumers As a Analyst Data Engineering you will play a pivotal role in shaping the next generation data foundation that fuels secure collaboration analytics and innovation at Visa You will bridge product strategy with technical execution ensuring that platform capabilities align with business needs while meeting high standards for security privacy and regulatory compliance This role offers the opportunity to influence Visa s global data sharing strategy support privacy centric collaboration and drive adoption of cloud native and generative AI-enabled data engineering practices Key Responsibilities Translate business and product requirements into scalable secure data engineering solutions across cloud and hybrid environments Design and implement data ingestion transformation sharing and quality pipelines leveraging cloud native platforms Build and scale data clean room capabilities that enable multi party collaboration while meeting privacy governance and regulatory needs Develop reusable data services APIs and frameworks that enable unified data access across cloud and on premise systems Optimize platform performance storage compute and data transfer efficiency across distributed systems Implement and maintain robust data security governance access controls and compliance frameworks Partner with data scientists product managers business engineers architects and analytics teams to deliver data as a service DaaS capabilities Lead the modernization of legacy Hadoop pipelines and datasets into cloud native architectures Provide mentorship on data engineering standards design principles quality frameworks and best practices Apply Generative AI GenAI to automate code development documentation pipeline optimization and data lifecycle workflows This is a hybrid position Expectation of days in office will be confirmed by your hiring manager Qualifications Basic Qualifications Bachelor s degree in Computer Science Data Analytics Data Engineering or a related technical field with 4 years of relevant experience Preferred Qualifications Technical Expertise 4 years of professional experience with a Bachelor s degree in Computer Science Data Engineering Analytics or similar Strong hands on experience 3 years in data engineering with the ability to support product analytics workflows and collaborate closely with product teams Proficiency in distributed data processing technologies such as Apache Spark Hadoop and modern data engineering languages Python SQL Pandas PySpark Experience supporting or building secure data collaboration solutions Data Clean Rooms privacy preserving sharing governance frameworks and controlled data access models Skilled in ETL ELT development workflow orchestration Airflow Dagster Prefect and distributed query engines Presto Trino Drill Athena Strong understanding of cloud native data architecture AWS Azure or GCP object storage compute frameworks data lake lakehouse patterns Delta Sharing IAM encryption Familiarity with synthetic data generation ML workflows and model lifecycle considerations Advanced cloud certifications AWS Databricks Snowflake etc are a plus Product Domain Knowledge Experience collaborating with product managers analysts and engineering teams to deliver scalable insight driven data products Understanding of payments financial data ecosystems and regulatory requirements prior domain experience is strongly preferred Strong command of data privacy compliance standards PCI GDPR and secure data access patterns Ability to translate ambiguous or evolving business needs into transparent technical requirements and influence product direction using a data first perspective Collaboration Leadership Experience working in agile environments driving cross functional alignment across engineering analytics product compliance and business stakeholders Excellent communication skills with the ability to present trade offs guide data driven decisions and support product planning Proven ability to design and support robust reliable and scalable data solutions especially for high volume transactional or analytics platforms Creative structured problem solver with the ability to operate in ambiguous environments and propose innovative data driven solutions 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

📌 Analyst, Information Consumption (Karnataka)
🏢 Visa
📍 Karnataka