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Senior Data Engineer (Bigdata + Java/Scala/Go)

AT Visa
Visa

Senior Data Engineer (Bigdata + Java/Scala/Go)

Bangalore, India

Company Description

Visa 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.

Job Description

This role is for a Senior Data Engineer - AIML, with a strong development background, whose primary objective will be to contribute developing and operationalizing platform services and large-scale machine learning pipelines at global scale. We are seeking for a talented professional with a solid mix of experience in Big Data and AI/ML systems.

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The ideal candidate for this role will have the ability to learn quickly and deliver solutions within strict deadlines in a fast-paced environment. They should have a passion for optimizing existing solutions and making incremental improvements. Strong interpersonal and effective communication skills, both written and verbal, are essential. Additionally, they should have knowledge of Agile methodologies, common scrum practices and tools. 
 

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications
• 3+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
• Strong development experience in Python and one or more of the following programming languages: Go, Rust, Java/Scala, C/C++

Preferred Qualifications
• Strong knowledge of Big Data such as Hadoop, Spark, Kafka, Redis, Flink, Airflow and similar technologies
• Hands on experience with virtualization, containerization and utilizing distributed compute frameworks like Ray etc.
• Knowledge about DR / HA topologies with hands on experience in implementing the same
• Hands on experience in building and maintaining data and model engineering pipelines, feature engineering pipelines and comfortable with core ML concepts and frameworks
• Well versed with common software development tools, DevOps tools and Agile methodologies.
• Strong interpersonal and effective communication skills both written and verbal
• Payment domain experience with AIML applications background is a plus

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.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: 48079c55-0b18-4637-873f-c2ecd9b6034f
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)