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Data Engineer (0.6 to 1.5 year, Data)

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

Visa is seeking a Data Engineer to join our Value Added Services – Digital Marketing & Engagement organization. In this role, you will help design, enhance, and build our data infrastructure and pipelines within an agile development environment. You will collaborate with colleagues who will support and challenge you daily, contributing to the development of innovative data solutions.

Key Responsibilities:

  • Design, develop, and maintain robust and scalable data pipelines and ETL processes.

  • Ensure data services are highly available, secure, scalable, and resilient.

  • Drive innovation to differentiate our data products and accelerate time-to-market delivery.

  • Utilize containerization technologies such as Docker and Kubernetes, and expertise in programming languages like Java and Python, along with both relational and non-relational databases.

  • Apply your data engineering skills with Hadoop, Spark, and Scala.

  • Represent the team in various technical forums and build deep partnerships with product management.

  • Analyze business requirements to architect highly secure, robust, and scalable data solutions.

  • Lead internal proof of concept initiatives and quickly design and implement prototypes.

  • Champion efforts to design and implement components of our global data processing systems.

  • Follow and create software best practices and processes.

  • Play a key role in meetings and discussions with cross-functional and non-technical teams.

Essential Functions:

  • Collaborate with customers to understand their requirements and build solutions that deliver real value.

  • Architect, design, and implement secure, robust, and scalable data solutions.

  • Drive proof of concept initiatives and lead implementation.

  • Engage in meetings and discussions with cross-functional teams.

  • Work in a hybrid environment, alternating between remote and office work.

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.

Qualifications

Basic Qualifications:

Less than 2 years of relevant work experience with either a Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, Cybersecurity, Business, or a related field, graduating between January 2024 and August 2025.
Strong communication skills, including clear and concise written and spoken communications that demonstrate professional judgment.

Preferred Qualifications:

Experience with programming languages such as Python, Java, Scala, C++, Rust, or Golang.
Basic knowledge of Distributed Systems and Data Structures.
Knowledge or experience with Big Data and ML platform services such as Apache Hadoop and Apache Spark.
Basic knowledge in ETL, data pipelines using Python, Shell Scripts, Apache Airflow, and Apache Kafka,building and populating data warehouses, and querying with BI tools.
Basic knowledge in RDBMS fundamentals- design and creation of databases, schemas, tables, DB administration, security, and working with MySQL and IBM Db2.
Basic knowledge in SQL query language, database functions, stored procedures, working with multiple tables, joins, and transactions.
Basic knowledge in NoSQL and Big Data concepts such as MongoDB and Cassandra.
Knowledge of best practices and IT operations in an always-up, always-available service.
Experience with or knowledge of Agile Software Development methodologies.
Ability to take on challenges and address problems head-on.
Strong ability to collaborate.
Highly driven, resourceful, and results-oriented.
Good team player with excellent interpersonal skills.
Good analytical and problem-solving skills.
Demonstrated ability to lead and navigate through ambiguity.

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.

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What You Should Know About Data Engineer (0.6 to 1.5 year, Data), Visa

Are you ready to take your skills to the next level as a Data Engineer at Visa in vibrant Bangalore? We’re excited to welcome someone who is passionate about building robust data infrastructures and creating scalable data pipelines. With Visa, a world leader in payments technology, you’ll contribute to an innovative team within the Value Added Services – Digital Marketing & Engagement organization. In your role, you'll be immersed in an agile development environment, collaborating with talented professionals who will support and challenge you daily. Your responsibilities will include designing, developing, and maintaining data pipelines, ensuring they are highly available, secure, and scalable. You'll also drive innovation, applying tools like Docker and Kubernetes, and programming languages such as Java and Python, while exposing your skills to Hadoop, Spark, and Scala. Your contributions won't stop there; you will engage with product management, analyze business requirements, and lead proof of concept initiatives. All of this will be done while championing best practices in software and data architecture. If you’re excited about working in a hybrid environment and are ready to make a real impact while developing your career at a purpose-driven organization, Visa is the place for you!

Frequently Asked Questions (FAQs) for Data Engineer (0.6 to 1.5 year, Data) Role at Visa
What career development opportunities does Visa offer for Data Engineers?

Visa places a strong emphasis on professional growth, providing Data Engineers with access to ongoing training, mentorship, and the chance to work on innovative projects that enhance their skills and career trajectory.

Join Rise to see the full answer
Common Interview Questions for Data Engineer (0.6 to 1.5 year, Data)
Can you describe a challenging project you worked on as a Data Engineer?

When answering this question, focus on a specific project where you faced significant challenges. Discuss how you approached the problem, the technologies you used, and the outcome. Highlight your problem-solving skills and your ability to work under pressure.

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What data pipeline tools are you most comfortable with?

You might want to mention your experience with specific tools like Apache Airflow or Apache Kafka. Explain why you preferred these tools and how they've helped you optimize data processes effectively.

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Describe your experience working with ETL processes.

Illustrate your understanding of ETL by detailing your experience in extracting, transforming, and loading data. Mention specific challenges you faced and how you overcame them.

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How do you ensure data quality in your pipelines?

Discuss strategies you use to maintain data quality through validation rules, testing, and monitoring. Providing examples will add credibility to your answer.

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What programming languages do you have experience with and how have you applied them?

Be honest about the languages you know such as Python, Java, or Scala. Mention projects where you used these languages and the results you achieved to illustrate your proficiency.

Join Rise to see the full answer
How do you stay updated on new technologies in data engineering?

Talk about your approach to continuous learning, including online courses, industry blogs, or networking events. Highlight specific platforms or resources that you find valuable.

Join Rise to see the full answer
Can you explain your understanding of distributed systems?

Show your comprehension by explaining the key concepts behind distributed systems, such as scalability and fault tolerance. Provide examples from past experiences if relevant.

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What experience do you have with big data technologies?

Detail your experience with tools like Hadoop or Spark and how you've applied them in real-world projects. This shows your capability to handle large datasets effectively.

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How do you handle conflicting requirements from various stakeholders?

Demonstrate your interpersonal skills by describing a situation where you successfully mediated between conflicting parties, ensuring a solution that met everyone’s needs.

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What do you find most exciting about data engineering?

Share your passion for data engineering! Discuss aspects such as problem-solving, innovation, or the opportunity to impact business decisions through data solutions.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
January 28, 2025

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