Senior Manager Data Engineering
Senior Manager Data Engineering
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Job Description
Team Summary
The Risk and Identity Solutions (RaIS) team provides risk management services for banks merchants and other payment networks. Machine learning and AI models are the heart of the realtime insights used by our clients to manage risk. Created by the Visa Predictive Models (VPM) team continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data creating efficient automated processes and standardizing ML/AI tools.
Technical Leadership
- Provide technical leadership and oversight to software architects engineers and data scientists.
- Drive the architecture for key crossteam/crossproduct development projects.
- Establish software development and data science best practices via examples and shipping code.
- Ensure engineering and data science excellence (quality security performance scalability availability resilience).
Collaboration & Strategy
- Collaborate with Product Office Operations & Infrastructure Cybersecurity Client Support and other Product Development teams to develop complete solutions.
- Drive the coordination organization and of qualitative and quantitative decisions.
- Guide the delivery of strategic projects aligned with business strategy on innovative payment acceptance and integrated commerce management.
- Collaborate closely with the global product teams in marketing and loyalty to define strategy and communicate a clear vision for the team.
Development & Innovation
- Deliver products with complex technical interdependencies by collaborating with geographically dispersed teams.
- Develop architectures that are inherently secure robust scalable modular APIcentric and global.
- Optimize the use of Visas Platforms & Solutions.
- Make a positive impact on Visas Loyalty and Marketing team fostering innovation and exploring new technologies such as Gen AI/ML.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications:
- 10 years of relevant work experience with a Bachelors Degree
- Have prior experience in leading team of data engineers developing large scale ETL processing.
- Have deep knowledge in technologies like Python PySpark/Scala Spark Hadoop Hive.
- Have deep knowledge in backend application development using technologies like Python or Java or Kotlin or Scala.
- Have extensive knowledge in data ware housing solutions.
- Must have deep understanding in spark optimizations optimizing resource sharing at cluster level.
- Must have deep knowledge in any one of data cataloging tools.
- Must have deep knowledge in real time streaming solutions and tools.
- Must have deep knowledge in SDLC tools like Git/Jenkins/Jira.
- Must know UNIX scripting knowledge.
Preferred Qualifications:
- 8 plus years of relevant experience in distributed computing field.
- Proven knowledge of successful design architecture and development of complex systems..
- Expertise with AI/ML frameworks (TensorFlow PyTorch etc. Java/J2EE Spring Spring Boot is plus
- Experience in API Development using SOAP or REST JSON and XML is plus.
- Experience with AWS environment and services like S3 EMR step functions Glue etc.
- Have worked in Feature engineering steps in ML life cycle is huge plus.
- Have worked in PII data and handling with secure protocols is huge plus.
- Strong experience in continuous delivery and DevOps including infrastructure automation monitoring logging and security implementation.
- Demonstrated ability to deliver on multiple projects and manage priorities based on changing directions
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 :
Fulltime
Employment Type
Full-time
