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Senior Data Engineer

PayPal

Senior Data Engineer

PayPal

Bangalore, Karnataka, India

·

On-site

·

Full-time

·

1w ago

The Company

Pay Pal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay Pal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. Pay Pal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a Pay Pal or Venmo account balance, Pay Pal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our Pay Pal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

Meet our team: Pay Pal is driving a multi-year Marketing Transformation to build an integrated Mar Tech platform that delivers consistent, personalized digital experiences across Pay Pal brands. This role plays a key part in building the platform end-to-end—designing and developing scalable data infrastructure, pipelines, and systems that power our next-generation CDP-based Marketing Automation platform.

What you need to know about the role:
This is a hands-on technical role requiring strong experience in building enterprise-scale data platforms and pipelines. You will design and optimize systems that process billions of records across batch and real-time architectures. Advanced SQL skills, strong analytical capability, and the ability to solve complex, low-latency business problems are essential.

Job Description:

Essential Responsibilities:

  • Lead the design and development of complex data pipelines for data collection and processing.
  • Develop and maintain advanced data storage solutions.
  • Ensure data quality and consistency through sophisticated validation and cleansing processes.
  • Implement advanced data transformation techniques to prepare data for analysis.
  • Collaborate with cross-functional teams to understand data requirements and provide innovative solutions.
  • Optimize data engineering processes for performance, scalability, and reliability.

Minimum Qualifications:

  • 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications:

Job Summary:

In Mar Tech, Agentic AI is part of our first principles - you will be expected to ramp up quickly on Agentic AI capabilities and bring outside-the-box thinking to conceptualize innovative data solutions. You will work independently, determine your own approach to technical challenges, and collaborate with cross-functional teams. We need someone who can ramp up quickly and start contributing from day one.

Essential Responsibilities:

  • Design, develop, and maintain enterprise-class data pipelines capable of processing billions of records daily with high throughput and reliability• Write advanced, complex SQL queries for data transformation, analysis, and optimization across petabyte-scale datasets• Build and optimize both batch and real-time/streaming data systems that solve low-latency business problems• Hands-on development of scalable data architectures in GCP using Big Query, Bigtable, Dataproc, and Pub/Sub• Perform deep data analysis to identify trends, anomalies, and insights that drive business decisions• Ramp up on Agentic AI capabilities and apply outside-the-box thinking to conceptualize innovative data solutions• Troubleshoot and resolve complex data pipeline issues, performing root cause analysis and implementing fixes• Optimize query performance, data models, and pipeline efficiency to meet strict SLAs• Actively engage in design and code reviews, maintaining high standards of code quality and engineering excellence

Expected Qualifications:

  • 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience

Additional Responsibilities & Preferred Qualifications:

Position Responsibilities:

  • Ramp up quickly on existing data systems, codebases, and business context to start delivering value immediately• Take ownership of end-to-end data pipeline development from design through production deployment• Build data solutions that handle Pay Pal-scale volumes - billions of transactions and events• Explore and apply Agentic AI approaches to enhance data engineering workflows and solutions• Implement data quality checks, monitoring, and alerting for production pipelines• Collaborate with Product, Analytics, and Engineering teams to understand data requirements and deliver solutions• Participate in on-call rotations and respond to production incidents with urgency• Document technical designs, data flows, and operational runbooks• Contribute to continuous improvement of data engineering practices and standards

Qualifications:

  • Demonstrated deep hands-on experience building enterprise-class data platforms and pipelines at scale• Expert-level SQL skills - ability to write and optimize complex queries across large datasets (billions of records)• Strong experience with both batch processing (Spark, Dataproc) and real-time/streaming systems (Kafka, Pub/Sub, Dataflow)• Proven ability to build low-latency data systems that solve time-sensitive business problems• Hands-on proficiency with Cloud data services. Preferably
  • Big Query, Bigtable, Dataproc, Cloud Storage, Pub/Sub• Strong Python programming skills for data pipeline development and automation• Experience with workflow orchestration tools (Airflow, UC4, or similar)• Solid understanding of data modeling, schema design, and data warehouse concepts• Experience with CI/CD pipelines and DevOps practices for data systems• Strong debugging and troubleshooting skills for distributed data systems• Ability to work in a fast-paced environment and ramp up quickly on new technologies and domains

Preferred Qualifications:

  • Experience with Agentic AI - ability to conceptualize and design data solutions leveraging Agentic AI with outside-the-box thinking• Experience in Marketing Technology (Mar Tech) or Advertising Technology (Ad Tech) domain• Experience building Customer Data Platforms (CDP)• Experience with Customer Segmentation and Activation across owned and paid channels• Experience with real-time integration with third-party Ad Tech platforms• Experience with Attribution and Analytics systems• Familiarity with AI/ML pipelines or AI-enhanced data systems

Education:

Bachelor's degree in Computer Science, Engineering, or related technical field

Subsidiary:

Pay Pal

Travel Percent:

0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, Pay Pal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the Pay Pal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At Pay Pal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

Pay Pal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Pay Pal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Belonging at Pay Pal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at Pay Pal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at Pay Pal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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About PayPal

PayPal

PayPal

Public

PayPal Holdings, Inc. is an American multinational financial technology company operating an online payments system in the majority of countries that support online money transfers; it serves as an electronic alternative to traditional paper methods such as checks and money orders.

25,000+

Employees

San Jose

Headquarters

$70B

Valuation

Reviews

3.2

24 reviews

Work Life Balance

3.5

Compensation

2.8

Culture

2.5

Career

2.7

Management

2.2

25%

Recommend to a Friend

Pros

Good benefits and company takes care of people

Helpful colleagues and good team environment

Work life balance and flexible culture

Cons

Frequent layoffs and restructuring

Poor management and lack of direction

Low pay increases and compensation issues

Salary Ranges

3 data points

Intern

Intern · MLE Intern

1 reports

-

total / year

Base

$59

Stock

-

Bonus

-

Interview Experience

7 interviews

Difficulty

3.6

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 57%

Negative 43%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Interview Rounds

5

System Design Interview

6

Hiring Manager Interview

7

Team Matching

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience