📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company PayPal 👥 Experience 2-4 years 🎓 Qualification 2–4 years. Hands-on with Python, Java, Scala, SQL, Kafka, GCP, Spark. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python Java Scala SQL Kafka GCP Spark Data Engineer at PayPal — Full Details & How to Apply PayPal is seeking a Data Engineer in Bangalore, Karnataka, India with hands-on experience in Python, SQL, and Kafka to support core payment data processing. This role is part of PayPal ’s Bangalore, Karnataka, India jobs recruitment pipeline and requires candidates to have a technical engineering background. This Data Engineer role directly supports PayPal ’s payment infrastructure by managing data pipelines using Python, SQL, Kafka, GCP, and Spark . The position involves building and maintaining systems that process transactional data, ensuring real-time analytics and secure data flow for payment operations. The use of Spark and Kafka enables scalable data ingestion and processing, which is critical for handling high-volume transaction data in real time. PayPal recruitment for this role emphasizes technical proficiency in Python, Java, Scala, SQL, Kafka, GCP, and Spark . The position is based in Bangalore, Karnataka, India and operates under a hybrid work mode. The company has been operating in approximately 200 markets, with a focus on secure and efficient payment solutions through data-driven engineering. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 2–4 years. Hands-on with Python, Java, Scala, SQL, Kafka, GCP, Spark. Relevant technical / engineering background and 2-4 years experience . The salary is Not Disclosed . Applicants will gain hands-on experience with Python , Java , Scala , SQL , Kafka , GCP , and Spark . This role provides a foundation in enterprise-level data engineering, with potential progression into senior data engineering or data platform roles within PayPal ’s technology stack. It is a direct pathway into a scalable, technology-driven environment. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Data Engineer jobs and PayPal recruitment opportunities in Bangalore, Karnataka, India jobs . Job Role & Responsibilities The core mission of this Data Engineer role at PayPal is to design, deploy, and maintain scalable data pipelines that process real-time transaction data using Kafka and SQL , ensuring data accuracy and availability for financial operations and fraud detection systems. Design and implement end-to-end data pipelines using Python and SQL to extract, transform, and load transaction data from source systems into analytics databases. Utilize Kafka to ingest high-volume, real-time payment event streams and route them to GCP storage for downstream processing and monitoring. Collaborate with backend engineers and business analysts to gather functional requirements and define data schema using SQL and Java for integration with existing PayPal services. Monitor key data quality metrics such as data completeness, latency, and error rates using Spark job logs and SQL query performance reports to detect anomalies. Maintain existing data infrastructure on GCP , including data lakes and compute clusters, to ensure 99.99% uptime and consistent performance under load. Document data flow diagrams and pipeline configurations using Python scripts and SQL queries to enable onboarding and troubleshooting by cross-functional teams. Troubleshoot data ingestion failures in Kafka topics and resolve issues in Spark jobs that result in missing or corrupted transaction records. Optimize data processing workflows using Python automation scripts to reduce processing time by at least 20% and improve throughput in Spark jobs. This role demands direct ownership of data pipeline performance, where every Python script, Kafka consumer, and SQL query has measurable impact on transaction visibility and fraud detection accuracy in PayPal 's real-time systems. Required Skills & Technical Competencies The Data Engineer at PayPal must possess hands-on expertise in core data engineering tools and languages, with a focus on real-time data processing and cloud-based data storage. All technical competencies are directly tied to operational tasks in the company’s data stack. Technical Skills Python — intermediate — used to write data transformation scripts, automate ETL workflows, and build monitoring tools for Kafka and Spark pipelines. Java — intermediate — applied to develop scalable data services and integrations within PayPal ’s backend systems, particularly for data ingestion and API gateways. SQL — advanced — used to query large-scale relational databases, validate data integrity, and generate performance reports for analytics teams. Kafka — advanced — leveraged to build real-time data ingestion pipelines that process millions of payment events per second with zero data loss. GCP — intermediate — utilized to deploy and manage data storage (e.g., BigQuery, Cloud Storage) and compute resources (e.g., Dataproc, Cloud Functions) for data processing. Spark — intermediate — used to execute large-scale batch processing jobs on transaction data, with performance measured in terms of processing time and memory efficiency. When preparing your resume or interview response, emphasize specific projects where you used Python , SQL , or Kafka to solve real data problems, with measurable outcomes such as reduced latency or improved data completeness. Eligibility Criteria This role is designed for candidates with a technical engineering background and 2–4 years of hands-on experience in data engineering, specifically working with Python , SQL , and Kafka in production environments. Must hold a Bachelor’s degree in Computer Science, Engineering, or a related technical field. Must belong to eligible batches: 2023 , 2024 , 2025 , or 2026 . Must have 2–4 years of practical experience in data engineering, including exposure to Python , SQL , and Kafka in real-world systems. Minimum CGPA of 2.75 or equivalent in undergraduate studies. Must submit a portfolio demonstrating data pipeline design, implementation, and performance optimization using Python , SQL , and Spark . Must have direct experience with GCP or equivalent cloud platforms for data storage and processing. Documentation & Portfolio Requirements Your resume must include a dedicated section titled “Data Engineering Projects” with clear descriptions of at least three data pipelines, each specifying the tool , data source , output metric , and performance improvement achieved. For this role, prioritize showcasing a project where you used Kafka to process real-time data and Spark to generate a performance report — include metrics such as message throughput, error rate, and processing time before and after optimization. Salary for Data Engineer at PayPal 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer role at PayPal is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Engineer Upskilling with the right resources significantly enhances your chances of selection for the Data Engineer role at PayPal . Recommended Courses & Resources Python — Essential for data manipulation and analysis in engineering tasks. Java — Important for building scalable data processing applications. Scala — Useful for working with Apache Spark in data processing. SQL — Critical for querying and managing databases effectively. KodNest — Provides hands-on experience with real-world data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python or SQL — Ensure your resume includes relevant projects. ❌ Using a generic resume — Tailor it to highlight experience with the specific responsibilities listed in the job description. ❌ Listing technologies like Kafka without context — Provide details on how they were used in previous roles or projects. ❌ Ignoring the specified experience requirement of 2-4 years — This may lead to disqualification. ❌ Adding unrelated technologies or unsupported claims — This can backfire during screening. ❌ Failing to verify the official Apply URL — This could lead to application errors. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for securing the Data Engineer position at PayPal . ATS Keywords to Include Data Engineer Python Java SQL Kafka GCP Spark Data Pipelines Data Analytics Real-time Processing Data Quality Data Infrastructure Resume Tips for This Role Highlight your experience with Python and SQL prominently on your resume, as these are critical for the role. Emphasize any hands-on experience with Kafka and GCP , as these tools are essential for data processing tasks. Showcase a project where you utilized Python or SQL for data analysis or pipeline development. Use exact keywords from the job description naturally in your resume to improve ATS alignment. Avoid including unsupported claims or technologies that you cannot substantiate with experience. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated technologies or unsupported claims in your resume for this role. How to Apply for Data Engineer at PayPal Apply Now — PayPal Open the official Apply URL and confirm the job title and company is correct. Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — PayPal NexisGrow.com does not charge any fees for job applications. PayPal PayPal is a technology company based in Bangalore, Karnataka, India, operating in a hybrid work mode. It serves consumers and businesses across approximately 200 markets, enabling secure transactions through proprietary payment solutions. Data engineers in this role design and build data pipelines, maintain scalable storage, and ensure data quality. They implement transformations to prepare data for analysis, working closely with engineers and stakeholders to improve data-driven decision-making. This role supports PayPal ’s mission by enabling efficient data processing and storage, which underpins secure and seamless payment experiences for millions of users. Early-career professionals gain hands-on experience with Python , Java , Scala , SQL , Kafka , GCP , and Spark —essential tools in data engineering. This exposure builds foundational skills critical to the technology industry. Company Details Industry Technology Location Bangalore, Karnataka, India Connect With Us Careers Apply Now Website 🔗 paypal.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 2-4 years of experience from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer The most important skills are Python, SQL, Kafka, GCP, and Spark, as they are explicitly mentioned in the job data. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Practice data pipeline design. 3. Familiarize yourself with Kafka and GCP. 4. Prepare to discuss past projects. 5. Understand PayPal's payment solutions. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, allowing for both remote and onsite work. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to data engineering tools and practices, enhancing skills in data processing and analytics. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, Kafka, and GCP, along with relevant project experience in data engineering. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and business stakeholders, focusing on data-driven solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer Freshers cannot apply as the experience requirement is 2-4 years. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at PayPal Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com