PayPal has announced new job openings for the position of Data Engineer (CL5) at its Bangalore office. This role is ideal for candidates with 1–2 years of experience in data engineering, big-data frameworks, and cloud-based data pipelines.
Job Overview
Name of the Company: PayPal
Job Role: Data Engineer
Qualifications: Graduate in computer science & engineering, or related field
Experience: 1-2 years
Salary: INR 9.1 – 20 LPA (via Glassdoor — estimated based on similar roles)
Job Location: Bangalore (Onsite – Full Time)
Job Category: Data pipelines and Architectures
Requisition ID: R0132304
Last Date: ASAP
Official Website: www.paypal.com
Job Description
PayPal is seeking a passionate and collaborative Data Engineer to join its global data organization. In this role, you will help design, develop, and scale data pipelines, cloud-based data platforms, and analytics infrastructure to support business insights and decision-making.
You will work closely with analysts, data scientists, and engineering teams while contributing to the company’s modernization of data workflows and architecture. This position provides hands-on experience with large-scale data engineering, one of the highest-demand domains in 2025.
Roles and Responsibilities
- Data Pipeline Development
- Build and maintain scalable data platforms capable of processing large datasets.
- Develop and optimize ETL/ELT workflows using modern data engineering frameworks.
- Ensure data accuracy, reliability, and performance across all systems.
- Troubleshoot and prevent pipeline performance issues.
- Data Infrastructure & Modeling
- Work with BigQuery and cloud-based storage platforms for efficient data retrieval.
- Implement best practices for data governance, metadata management, and compliance.
- Support architectural decision-making and technical design reviews.
- Collaboration & Continuous Learning
- Collaborate with cross-functional teams to understand data needs and business goals.
- Participate in Agile planning sessions, sprints, and retrospectives.
- Stay updated with emerging technologies, frameworks, and industry best practices.
Required Skills & Qualifications
Technical Skills
- Strong understanding of Apache Spark (RDDs, DataFrames, Datasets, Spark SQL).
- Hands-on experience with Google BigQuery, including cost optimization.
- Proficiency in Scala or Java programming.
- Solid ETL/ELT knowledge and data pipeline development experience.
- Knowledge of data modeling, warehousing, and schema design.
Professional Skills
- 1–2 years of experience in data engineering roles.
- Excellent problem-solving skills and attention to detail.
- Ability to explain technical concepts in simple terms to non-technical teams.
- Experience working in cross-functional, collaborative environments.
Preferred Qualifications
- Experience with GCP, AWS, or Azure cloud platforms.
- Familiarity with orchestration tools such as Airflow or Prefect.
- Experience with streaming technologies like Kafka or Pub/Sub.
- Knowledge of Git, CI/CD workflows, and data security principles.
- Bachelor’s degree in Computer Science or related specialization.
How to Apply
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FAQs
1. What is the salary range for PayPal Data Engineer in 2025?
The estimated salary ranges from INR 9.1 – 20 LPA, depending on skills, experience, and interview performance.
2. How much experience is required for this role?
PayPal requires 1–2 years of experience in data engineering, Spark, BigQuery, and related technologies.
3. Is the PayPal Data Engineer position onsite or remote?
This is a full-time onsite role at the Bangalore office.
4. What technical skills are essential for this job?
Spark, BigQuery, Scala/Java, ETL concepts, data modeling, and cloud-based data platform knowledge.
5. Do I need cloud experience to apply for this role?
Cloud experience (GCP/AWS/Azure) is preferred but not mandatory for eligibility.
Disclaimer
The information provided is solely for informational purposes. All job details are sourced from official company pages. Latest MNC Jobs does not guarantee placements and never charges fees. Candidates should apply only through official links and follow company-approved hiring processes.
