Data Engineer

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.

Job Description Summary:

What you need to know about the role-
We are hiring talented and creative Feature engineer for AIML platform team based in Chennai, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. You will have a chance to work on solving real world problems and gain practical experience in end-to-end Feature building & Machine Learning life cycle. You will design, build, and optimize the platform for Feature Engineering to support ML pipeline and data infrastructure. Additionally, you will gain domain expertise in a variety of industries, working with data scientists, researchers, and engineers to build Features required for ML models used across all PayPal domains.
Meet our team
PayPal RAMPS(Risk & AI/ML Platforms Solutions) is responsible for building the Features Engineering & ML capabilities to help data scientists and data analysts with the end-to-end feature development lifecycle. We build state of the art and innovative feature & ML infrastructure to support key product functions such as Global Analytics Data science, Fraud risk, Credit risk, Compliance, Personalization, Recommendations, Customer success, and other domains across PayPal.

Job Description:

• Your way to impact 

  
  
• Strong critical thinking and problem-solving skills with the ability to address complex technical and non-technical challenges. 
• Ability to influence and strong communication to interact with at all levels of the organization and across multiple domains.
• Ability to solve technical problems and data science discussions and engagements that involve multiple personas including data scientists, data engineers, analysts and developers. 

• Your day to day 

  
  

  In your day to day role you will be:

  
  
• Develop highly scalable and efficient Feature Engineering platform that enables data scientists to build, deploy, and monitor Features and machine learning solutions end-to-end.  
• Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.  
• Drive innovation by researching and incorporating state-of-the-art Feature Engineering & Machine learning techniques, tools, and frameworks into the Feature Engineering platform.  
• Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
• Work as a team player and foster a culture of collaboration, innovation, and continuous learning.  
• Explore state-of-the-art deep learning techniques and Partner with data science and domain engineering teams to support the business transformation through AI.
• Develop trusted partnership with business, product, data scientists and architecture leaders to drive optimized platform product delivery

• What do you need to bring- 

  
  

  Qualifications: 

  
  
• Minimum of 3+ years of relevant experience in key technologies mention below.
• Good track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products.   
• Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.  
• Strong proficiency in SQL, Hadoop, Spark, Google cloud platform (Big Query, Google cloud storage & Data proc), and Data Engineering techniques, with hands-on experience in developing and deploying large scale Feature data marts/store.  
• Expertise in anyone/ more programming languages such as Python, Go, Java, and proficiency in machine learning techniques.
• Experience working in large scale Feature engineering infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS.
• Experience with Jupyter Notebook, Kubeflow, Airflow, Uc4 Scheduling, Argo, GPU and HPC
• Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platform's capabilities.  
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). 
• Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner 

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

Additional Job Description:

Our Benefits:

At PayPal, 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 benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:

Click Here to learn more about our culture and community.

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

PayPal 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, PayPal 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.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Subsidiary:

PayPal

Travel Percent:

0

Our Benefits:
At PayPal, 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 benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:
Click Here to learn more about our culture and community.

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com ,  https://about.pypl.com and  https://investor.pypl.com.
PayPal 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, PayPal 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.

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