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Lead Data Engineer

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

The Universal Data Catalog (UDC) / Visa Data Catalog (VDC) is a comprehensive metadata management platform designed to provide a centralized repository for all data-related information across the organization. The platform enables efficient data discovery, governance, and utilization by offering detailed metadata definitions for tables, columns, and other data assets. It supports various business units by improving data accessibility, enhancing data quality, and facilitating compliance with data governance policies. Our implementation leverages the open-source Datahub project, ensuring a robust, flexible, and scalable solution.

Key Responsibilities

  • Develop and maintain the Enterprise Data Catalog / Visa Data Catalog platform, ensuring it meets the organization’s evolving needs.
  • Implement and manage metadata ingestion processes to ensure the catalog is up-to-date with the latest data definitions and business context.
  • Collaborate with data stewards, data owners, and other stakeholders to enrich metadata with business definitions, data lineage, and usage context.
  • Enhance the catalog’s search and discovery capabilities to provide users with intuitive and efficient access to data assets.
  • Integrate the data catalog with other enterprise systems and tools to support data governance, data quality, and analytics initiatives.
  • Monitor and optimize the performance of the data catalog to ensure scalability and reliability.
  • Provide training and support to users on how to effectively leverage the data catalog for their data-related needs.
  • Actively collaborate with the open-source community to contribute to and leverage the latest advancements in the Datahub project.
  • Analyze industry best practices and keep the catalog functionality up-to-date with feature sets provided by the market, while focusing on Visa’s scalability requirements.
  • Champion the adoption of open infrastructure solutions that are fit for purpose while keeping technology relevant.
  • Spend 70% of the time writing code in different languages, frameworks, and technology stacks.

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

Qualifications

Basic Qualifications
o 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications
o 12-15 yrs+ of experience in architecture design and development of large-scale data management platforms and data application with simple solutions
o Must have extensive hands-on coding and designing skills on
o Java/Python for backend
o MVC (model-view-controller) for end-to-end development
o SQL/NoSQL technology. Familiar with Databases like Oracle, DB2, SQL Server, etc.
o Web Services (REST/ SOAP/gRPC)
o React/Angular for front-end (UI front-end nice to have)
• Expertise in design and management of complex data structures and data processes
• Expertise in efficiently leveraging the power of distributed big data systems, including but not limited to Hadoop Hive, Spark, Kafka streaming, etc.
• Deep knowledge and hands on experience on big data and cloud computing technologies.
• Strong service architecture and development experience with high performance and scalability
• Technical background in data with deep understanding of issues in multiple areas such as data acquisition, ingestion and processing, data management, distributed processing, and high availability is required.
• Strong on driving for results and self-motivated, strong learning mindset, with good understanding of related advanced/new technology. Keep up with the technology development in the related areas in the industry, which could be leveraged to enhance current architectures and build durable new ones.
• Bachelor's degree in Computer Science or related technical discipline required. advanced degree is a plus.
• Strong leadership and team player.
• Strong skills on mentoring/growing junior people
• Payment industry experience 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.

Average salary estimate

$150000 / YEARLY (est.)
min
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$120000K
$180000K

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What You Should Know About Lead Data Engineer, Visa

At Visa, we're on a mission to connect the world through our state-of-the-art payments technology, and we're looking for a Lead Data Engineer to join our dynamic team in Bangalore, India. In this pivotal role, you will oversee the development and maintenance of our Universal Data Catalog (UDC) / Visa Data Catalog (VDC), a comprehensive platform that enhances data visibility across the organization. If you're passionate about data and want to make a significant impact, this is the perfect opportunity for you! You'll leverage your expertise to implement metadata ingestion processes, enriching our catalog with valuable business definitions and lineage. Working collaboratively with data stewards and stakeholders, you'll enhance user access to data assets and integrate the catalog with other systems to support data governance and analytics. A typical day will involve writing code in languages like Java and Python, ensuring performance optimization, and championing open-source initiatives. With a focus on keeping our data catalog aligned with industry best practices and scalability requirements, you will play a crucial role in transforming how Visa harnesses its data. If you're looking to combine your technical skills with leadership capabilities while contributing to a purpose-driven organization, we'd love to hear from you!

Frequently Asked Questions (FAQs) for Lead Data Engineer Role at Visa
What are the primary responsibilities of a Lead Data Engineer at Visa?

As a Lead Data Engineer at Visa, your key responsibilities include developing and maintaining the Enterprise Data Catalog, implementing metadata ingestion processes, collaborating with stakeholders to enrich metadata, enhancing search and discovery capabilities, integrating the catalog with enterprise systems, and monitoring its performance. Additionally, you'll have the opportunity to write code, contribute to open-source projects, and enhance Visa's data management practices.

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What qualifications are needed for the Lead Data Engineer position at Visa?

To qualify for the Lead Data Engineer role at Visa, candidates should possess at least 10 years of relevant work experience with a Bachelor's degree or equivalent experience. Preferred qualifications include extensive experience in large-scale data management platforms, strong programming skills in Java/Python, familiarity with SQL/NoSQL databases, and expertise in big data technologies like Hadoop and Spark.

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What programming languages and technologies should a Lead Data Engineer at Visa be skilled in?

A Lead Data Engineer at Visa should be proficient in Java and Python for backend development, with experience in MVC frameworks, SQL/NoSQL technologies, and Web Services like REST and SOAP. Familiarity with distributed big data systems, cloud computing technologies, and front-end frameworks such as React or Angular is also valuable.

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How does the role of Lead Data Engineer at Visa contribute to the company's mission?

The Lead Data Engineer plays a vital role in Visa's mission by ensuring data governance, quality, and accessibility, which are essential for making informed business decisions. By managing the Visa Data Catalog, this role enables the organization to leverage data effectively, driving innovation and connectivity across financial ecosystems.

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What is the work environment like for a Lead Data Engineer at Visa in Bangalore?

The work environment for a Lead Data Engineer at Visa in Bangalore is collaborative and innovative. This hybrid position allows for flexibility in work arrangements, fostering a culture of teamwork and continuous learning. Employees are encouraged to explore new technologies and contribute to significant projects that impact the company's global operations.

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Common Interview Questions for Lead Data Engineer
Can you describe your experience with big data technologies relevant to the Lead Data Engineer position?

Highlight your hands-on experience with big data technologies such as Hadoop, Spark, and Kafka. Provide specific examples of projects where you have implemented these technologies to improve data ingestion, processing, or management to showcase your expertise.

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How do you approach metadata management in a large data project?

Discuss your strategy for managing metadata, including processes for ingestion, enrichment, and governance. Emphasize the importance of collaboration with stakeholders to ensure metadata enhances data accessibility and quality throughout the organization.

Join Rise to see the full answer
What programming languages are you proficient in, and how have you applied them in your previous roles?

Enumerate the programming languages you are skilled in, notably Java and Python, and describe how you've used them in developing and maintaining data management platforms, including any specific frameworks or methodologies you employed.

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How do you ensure the scalability and performance of a data catalog framework?

Explain the methods and tools you utilize for monitoring and optimizing performance, such as load testing, performance tuning, and scalability assessments. Share experiences where you successfully implemented improvements in data catalog systems.

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Describe a challenging project you worked on and how you overcame obstacles.

Provide a detailed account of a challenging project, focusing on the specific obstacles you faced and the solutions you implemented. Highlight your problem-solving skills and ability to work effectively under pressure.

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What do you think are the key trends in data engineering today?

Discuss current trends such as the rise of cloud-based solutions, the use of machine learning for data processing, and advancements in data governance technologies. Relate these trends to how they might influence practices at Visa.

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How do you keep up with advancements in data engineering and related technologies?

Share your strategies for professional development, such as attending conferences, participating in webinars, following industry publications, and engaging with the open-source community. Emphasize your proactive approach to continuous learning.

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Can you explain the importance of data lineage in data management?

Elaborate on the significance of data lineage for tracking the origin, movement, and transformation of data within systems. Discuss how you would implement data lineage tracking within the data catalog to enhance transparency and governance.

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What role do you see data governance playing in a Lead Data Engineer's job?

Discuss the integral part data governance plays in ensuring the quality, security, and compliance of data throughout its lifecycle. Describe how you would collaborate with data stewards and stakeholders to support governance initiatives.

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How would you approach mentoring junior team members as a Lead Data Engineer?

Explain your philosophy on mentorship, including how you would identify skill gaps, provide guidance, and promote a collaborative learning environment within the team to foster growth and knowledge sharing.

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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
March 21, 2025

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