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133 PayPal Jobs

Data Engineer

3-8 years

Bangalore / Bengaluru

1 vacancy

Data Engineer

PayPal

posted 1mon ago

Job Role Insights

Flexible timing

Job Description

  • Your work will directly contribute to PayPal s overarching mission of revolutionizing customer engagement globally
  • By building, enhancing, and scaling the back-end data pipelines that underpin our marketing technology experiences, you will be a key player in enabling seamless and innovative ways of engagement of our customers worldwide
  • Your efforts in developing high-quality, secure, and performant software solutions will not only improve user experiences but also drive inclusion and flexibility that is critical in todays digital economy
  • Your role goes beyond coding; its about making a tangible impact on the lives of millions
Your day to day
  • Building highly scalable backend data pipeline with high throughput in GCP using BigQuery and Dataproc.
  • Write and maintain pipelines in Python framework
  • Scheduling jobs using UC4, airflow
  • Independently work on multiple product features, utilizing your technical
    expertise to propose innovative solutions for both new and existing
    functionalities, informed by a growing understanding of our products and the
    business domain.
  • Manage your own project deliverables, timelines, and priorities, effectively
    balancing multiple tasks to meet project deadlines and performance targets.
  • Actively engage in design and code reviews, providing constructive feedback to
    peers and incorporating feedback into your own work to maintain high standards
    of code quality and functionality.
  • Sharing your knowledge and experience to new members to help onboard them onto the team quickly and efficiently, fostering a culture of learning and continuous improvement.
What do you need to bring-
  • A bachelor s degree in computer science or an equivalent combination of
    technical education and work experience.
  • 3+ years of ETL Expertise ie managing data extraction, transformation, and loading from various sources using advanced SQL and Jupyter Notebooks/Python.
  • Working knowledge on Big Data, GCP Cloud databases, Streaming Integrations.
  • Experience in design and building highly scalable distributed applications capable of handling very high volume of data in GCP using BigQuery and python.
  • Strong conceptual knowledge in Data warehouses, Data marts, distributed data platforms and data lakes, Data Modeling, Schema design and CI/CD
  • Experience working on SaaS platform(s): Adobe RTCDP is a plus.
  • Experience using Atlassian JIRA, Service Now, Atlassian Confluence tools.
  • Experience in delivering projects using Agile Methodology.

Employment Type: Full Time, Permanent

Read full job description

PayPal Interview Questions & Tips

Prepare for PayPal Data Engineer roles with real interview advice

Top PayPal Data Engineer Interview Questions

Q1. Cycle Detection in a Singly Linked List Determine if a given singly linked list of integers forms a cycle or not. A cycle in a linked list ... read more
Q2. Painting Fences Problem Statement You are given ‘N’ fences. Your task is to compute the total number of ways to paint these fences using on ... read more
Q3. Cycle Detection in Undirected Graph Problem Statement You are provided with an undirected graph containing 'N' vertices and 'M' edges. The ... read more
View all 177 questions

What people at PayPal are saying

3.4
 Rating based on 4 Data Engineer reviews

Likes

Team culture is good.

  • Salary - Good
  • +5 more
Dislikes

None as of now.

Read 4 Data Engineer reviews

Data Engineer salary at PayPal

reported by 68 employees with 3-11 years exp.
₹10.9 L/yr - ₹36 L/yr
140% more than the average Data Engineer Salary in India
View more details

What PayPal employees are saying about work life

based on 920 employees
65%
60%
84%
58%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

PayPal Benefits

Free Transport
Work From Home
Health Insurance
Cafeteria
Team Outings
Job Training +6 more
View more benefits

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