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Data Engineer

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PayPal

20d ago

  • Job
    Full-time
    Mid Level
  • Data
    IT & Cybersecurity

AI generated summary

  • You need a bachelor's in computer science, 3+ years ETL expertise with SQL/Python, knowledge of big data, GCP, scalable apps, data modeling, Agile, and experience with Jira/Confluence.
  • You will build scalable data pipelines in GCP, maintain Python frameworks, schedule jobs, manage projects, conduct code reviews, and mentor new team members for continuous improvement.

Requirements

  • A bachelor’s degree in computer science or an equivalent combination of technical education and work experience.
  • 3+ years of ETL Expertise i.e. 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.
  • We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Responsibilities

  • 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.

FAQs

Do we support remote work?

Yes, we support a balanced hybrid work model, allowing employees to work 3 days in the office and 2 days at their choice of either the PayPal office or their home workspace.

What is the primary responsibility of a Data Engineer at PayPal?

The primary responsibility of a Data Engineer at PayPal is to design and develop backend data pipelines using GCP (BigQuery, Bigtable, and Dataproc) and Python, while ensuring security measures, testing, and overseeing production releases.

What qualifications are required for the Data Engineer position?

A bachelor's degree in computer science or an equivalent combination of technical education and work experience is required, along with 3+ years of ETL expertise and experience in GCP Cloud databases.

What programming languages are important for this role?

Python programming is essential for developing and maintaining data pipelines in this role.

Are there any specific tools or technologies required for this position?

Yes, familiarity with GCP (specifically BigQuery and Dataproc), advanced SQL, Jupyter Notebooks, and experience with scheduling jobs using tools like UC4 or Airflow are important.

How does PayPal support employee health and wellness?

PayPal offers valuable benefits and resources to support employees' financial, physical, and mental health, including health and life insurance, as well as a flexible work environment.

Does PayPal promote a culture of diversity and inclusion?

Yes, PayPal is committed to equity and inclusion, providing equal employment opportunities and fostering a diverse workforce that reflects the communities they serve.

What is the work environment like at PayPal?

PayPal offers a supportive and collaborative work environment where employees can engage in design and code reviews, share knowledge, and foster a culture of learning and continuous improvement.

What methodologies are used for project deliveries?

Experience in delivering projects using Agile methodology is preferred for this position.

Is there an opportunity for career growth and development within the team?

Yes, the role provides opportunities for career growth through engagement in various facets of data pipeline development and mentorship opportunities with new team members.

Technology
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

PayPal is a prominent financial technology company that facilitates online payments and money transfers for individuals and businesses. Their fundamental objective is to empower seamless and secure digital transactions, enabling people to manage their financial lives more efficiently in an increasingly interconnected world. At its core, PayPal strives to be the bridge that connects people with the global economy, offering accessible and convenient solutions to move and manage money, ultimately promoting financial inclusion and empowerment.