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Sr. Data Engineer - job 1 of 2

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

Role Summary

Visa is looking for a Hybrid Cloud Data Platform Engineer to strengthen our hybrid cloud-based data platform. This role requires expertise in designing and managing scalable data platforms that support critical business functions. The selected candidate will work on cutting-edge technologies in cloud environments and big data ecosystems, ensuring high performance, security, and reliability.

This role provides an opportunity to work closely with cross-functional teams, including data scientists, analysts, and software engineers, to drive innovation and build next-generation data platforms.

Key Responsibilities

● Develop, optimize, and manage large-scale big data platform compromising of Hadoop, S3, Spark, Hive, Trino and cloud-based data platforms to support business intelligence and analytics.

● Design and implement efficient data pipelines to integrate, process, and store large datasets from various sources.

● Enhance data reliability, integrity, and governance, ensuring compliance with security and regulatory standards.

● Work with cloud services (AWS, Azure, GCP) to architect scalable and cost-effective data solutions.

● Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform and CloudFormation.

● Monitor and improve system performance, resource utilization, and operational efficiency.

● Stay ahead of emerging trends in cloud technologies, big data processing, and AI-driven analytics.

● Provide technical guidance and mentorship to junior engineers and collaborate with other teams to enhance platform capabilities.

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 Qualification
●2+ years of relevant work experience and a Bachelors degree, OR 5+ years of
relevant work experience

Preferred Qualification
●5+ years of experience in cloud data platform engineering or big data platform
development.
● Strong programming skills in Python, Java, or Scala for data processing and
automation.
● Expertise in cloud computing platforms (AWS, Azure, GCP) with hands-on
experience in services like AWS Glue, EMR, Athena, Azure Synapse, and
Databricks.
●Experience with big data technologies, including Hadoop, Spark, Hive, and
Presto.
●Knowledge of data integration frameworks, ETL pipelines, and data lake
architectures.
●Familiarity with IaC tools like Terraform, CloudFormation, or Ansible.
●Strong grasp of data security, governance, and compliance best practices.
●Experience working in agile environments with modern CI/CD pipelines and
DevOps practices.
●Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a
related field.

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

$105000 / YEARLY (est.)
min
max
$90000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Data Engineer, Visa

At Visa, we believe in connecting the world, and as a Senior Data Engineer based in Bangalore, you'll play a critical role in bringing that vision to life. Our mission is to innovate the payments landscape globally, ensuring seamless and secure transactions. In your new role, you will be focusing on enhancing our hybrid cloud-based data platform, allowing us to manage large-scale datasets effectively, and support essential business functions. You'll be involved in developing and optimizing big data platforms using state-of-the-art technologies like Hadoop, Spark, and various cloud services including AWS and Azure. This is not just a job; it's an opportunity to work collaboratively with talented data scientists and engineers to innovate and build future-ready data solutions. You'll be tasked with crafting data pipelines that integrate and process massive datasets while monitoring system performance and operational efficiency. Additionally, by ensuring data security and governance, you'll be a key player in upholding our regulatory standards. If you have strong programming skills in Python, Java, or Scala and a passion for cloud technologies, Visa is the place where your ideas will flourish and your expertise will matter. Join us to make a meaningful impact in the payments industry.

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

As a Senior Data Engineer at Visa, your primary responsibilities include developing and managing a large-scale big data platform. You will design and implement data pipelines, enhance data integrity and reliability, and monitor system performance. You'll work closely with teams to provide innovative data solutions that support business intelligence and analytics.

Join Rise to see the full answer
What qualifications are required for the Senior Data Engineer position at Visa?

To qualify for the Senior Data Engineer position at Visa, candidates should have at least 2+ years of relevant experience with a Bachelor’s degree, or 5+ years of experience in data engineering. Strong programming skills in Python, Java, or Scala, along with expertise in cloud computing platforms like AWS, Azure, or GCP are essential.

Join Rise to see the full answer
What cloud technologies should a Senior Data Engineer at Visa be familiar with?

A Senior Data Engineer at Visa should be well-versed in cloud computing platforms such as AWS, Azure, and GCP. Familiarity with cloud services like AWS Glue, EMR, and data processing frameworks like Hadoop and Spark is crucial for delivering scalable data solutions.

Join Rise to see the full answer
What big data technologies are essential for the Senior Data Engineer role at Visa?

Key big data technologies for the Senior Data Engineer role at Visa include Hadoop, Spark, Hive, and data ingestion frameworks. A solid understanding of ETL pipelines and data lake architectures is also highly valued.

Join Rise to see the full answer
What does the hybrid work model look like for Senior Data Engineers at Visa?

Visa offers a hybrid work model for Senior Data Engineers, where you'll alternate between working remotely and from the office. Employees are expected to be in the office about 2-3 days a week, ensuring dynamic collaboration while also benefiting from flexible work arrangements.

Join Rise to see the full answer
Common Interview Questions for Sr. Data Engineer
Can you describe your experience with cloud data platforms?

In answering this question, emphasize your hands-on experience with cloud data platforms like AWS, Azure, or GCP. Highlight specific projects where you architected data solutions or optimized existing ones, and discuss the technologies used such as Glue, EMR, or Databricks.

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How do you ensure data integrity and security in your data engineering processes?

In your response, include strategies such as implementing data validation checks, using encryption methods, and adhering to compliance standards. Sharing specific examples of how you’ve enhanced data security in past projects can further strengthen your answer.

Join Rise to see the full answer
What programming languages are you proficient in for data processing?

Mention programming languages like Python, Java, or Scala that you excel in. Providing examples of past projects where you utilized these skills for data processing or automation will showcase your practical experience effectively.

Join Rise to see the full answer
How have you utilized big data technologies in previous roles?

Talk about your hands-on experience with technologies like Hadoop or Spark, focusing on how you implemented them to solve specific business problems. Discuss any data processing workflows you automated or optimized.

Join Rise to see the full answer
Can you explain your experience with Infrastructure as Code tools?

You should explain your familiarity with IaC tools, such as Terraform or CloudFormation. Discuss how you used these tools for automating infrastructure provisioning to streamline deployment processes in past projects.

Join Rise to see the full answer
Describe a time when you solved a complex data-related problem.

Share a specific situation where you identified a data issue, articulate the steps you took to address it, and explain the positive impact of your solution on the organization or project outcomes.

Join Rise to see the full answer
What experience do you have with data governance and compliance best practices?

Discuss the importance of data governance and compliance. Include examples of how you collaborated with teams to ensure that data practices adhered to regulatory standards and maintained high levels of data quality.

Join Rise to see the full answer
How do you approach designing data pipelines?

Explain your strategy for designing data pipelines, from source integration to data transformation. Highlight your focus on efficiency and scalability and mention any frameworks or tools you prefer to use in the process.

Join Rise to see the full answer
What role do you think collaboration plays in a data engineering team?

Talk about the vital importance of collaboration in a data engineering team, emphasizing communication with data scientists, analysts, and other engineers to drive projects forward and foster innovation through collective knowledge.

Join Rise to see the full answer
How do you keep yourself updated with emerging trends in cloud and big data technologies?

Share your practices for staying informed, such as following industry blogs, participating in webinars, attending conferences, or engaging in online communities focused on cloud and big data technologies.

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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 26, 2025

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