📋 Job Details at a Glance 📍 Location Chennai, Tamil Nadu, India 🏢 Company PayPal 👥 Experience 2+ years 🎓 Qualification 2+ years. Hands-on with Python, SQL, Kafka, GCP, Spark, Airflow. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Kafka GCP Spark Airflow Data Engineer at PayPal — Full Details & How to Apply PayPal is seeking a Data Engineer in Chennai, Tamil Nadu, India who will work hands-on with Python, SQL, Kafka, GCP, Spark, and Airflow . This role is part of PayPal ’s data operations team, where engineers manage data pipelines and ensure data quality using core technologies. This Data Engineer role directly supports data pipeline operations, enabling efficient data processing and analytics. The position involves managing data workflows using tools such as Apache Kafka for real-time data ingestion, Google Cloud Platform for infrastructure, and Apache Spark for large-scale data processing. Responsibilities include maintaining data integrity and optimizing performance through tools like Airflow for workflow orchestration. PayPal recruitment for this role emphasizes technical proficiency and hands-on experience. The job posting confirms that the position is based in Chennai, Tamil Nadu, India and requires a 2+ years of experience in data engineering. The role is part of PayPal ’s global commerce platform, where data operations underpin transaction efficiency and user experience. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 2+ years. Hands-on with Python, SQL, Kafka, GCP, Spark, Airflow. Relevant technical / engineering background and 2+ years experience . The salary is Not Disclosed . Applicants will gain practical experience with Python , SQL , Kafka , GCP , Spark , and Airflow . This role provides foundational exposure to enterprise-grade data engineering tools, which are essential for advancing into roles in data architecture, cloud engineering, or analytics leadership. 📊 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 , PayPal recruitment , and Chennai, Tamil Nadu, India jobs on our platform. Job Role & Responsibilities The Data Engineer at PayPal is responsible for building and maintaining scalable data pipelines that process real-time transaction streams using Kafka and Google Cloud Platform . This role ensures data integrity across financial systems by implementing robust, fault-tolerant workflows with measurable latency and throughput targets. Design and implement end-to-end data pipelines using Kafka to ingest real-time transaction events from payment systems with millisecond-level latency requirements. Develop data transformation scripts in Python to clean, validate, and enrich raw financial data from multiple sources before ingestion into Google Cloud Storage . Query large-scale relational datasets using SQL to extract performance metrics, fraud detection patterns, and user behavior trends from BigQuery tables. Configure and maintain Apache Airflow DAGs to orchestrate batch and streaming jobs with success rate and error recovery monitoring enabled. Deploy and manage Spark jobs on Google Cloud Platform to process petabyte-scale historical transaction data for analytics and reporting. Collaborate with backend engineering teams to integrate data outputs into Google Cloud Functions and ensure data schema consistency across services. Monitor data pipeline performance using Cloud Monitoring and Stackdriver to detect anomalies in data ingestion rates and processing delays . Document data workflows, schema changes, and failure recovery procedures in Confluence or Google Docs to support audit trails and operational efficiency. This role demands direct ownership of data infrastructure, where every pipeline decision impacts system performance , data accuracy , and operational reliability across PayPal ’s core financial operations. Required Skills & Technical Competencies The Data Engineer must possess a strong foundation in Python , SQL , Kafka , GCP , and Spark to execute technical tasks with precision and scalability. These tools are used in daily operations to process, store, and orchestrate data at scale. Technical Skills Python — intermediate — used to write data validation scripts, ETL pipelines, and automation tasks in PySpark and Google Cloud SDK . SQL — intermediate — used to query and manage data in BigQuery and Cloud SQL with complex joins and aggregations for financial reporting. Kafka — intermediate — used to build real-time data ingestion pipelines that handle 10,000+ messages per second from payment gateways. GCP — intermediate — used to deploy and manage data storage in Cloud Storage , BigQuery , and Cloud Run with IAM policies and cost controls. Spark — intermediate — used to process large-scale datasets in Spark SQL and PySpark for batch analytics on Google Cloud Dataproc . When preparing your resume, emphasize hands-on projects that demonstrate Python scripts, SQL queries, and Kafka pipeline implementations with measurable performance outcomes. Eligibility Criteria This role is designed for candidates with a technical engineering background and at least 2+ years of hands-on experience in data engineering or related domains. It is not open to freshers or candidates without demonstrable technical exposure. Must hold a Bachelor’s degree in Computer Science, Engineering, or a related technical field. Eligible batches are 2023 , 2024 , 2025 , and 2026 . Minimum of 2 years of professional experience in data engineering or software development with Python and SQL exposure. CGPA or academic performance is not specified in the job posting. Project experience, GitHub repositories, or internships are not explicitly required but should be demonstrated in technical documentation. Must have direct experience with Kafka , Spark , or Google Cloud Platform in real-world data workflows. Documentation & Portfolio Requirements Your resume must include a clear section listing Python scripts, SQL queries, and Kafka pipeline designs with GitHub links or project descriptions showing measurable outcomes. For this role, prioritize showcasing Python automation scripts, SQL queries on large datasets, and Kafka pipeline implementations with defined latency and throughput metrics in your portfolio. 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 engineering tasks. SQL — Crucial for managing and querying databases effectively. GCP — Important for cloud-based data solutions and infrastructure. KodNest — Provides hands-on experience with data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without showing evidence of experience with Python — Include specific projects or tasks. ❌ Using a generic resume — Tailor it to align with the specific responsibilities outlined in the job description. ❌ Listing technologies like Spark or Airflow without context — Demonstrate where they were applied in previous roles or projects. ❌ Ignoring the experience requirement of 2+ years — Apply only if you meet the relevant background. ❌ Adding unrelated technologies or unsupported claims — Avoid inflating ATS keywords without relevance to the role. ❌ Applying without verifying the official Apply URL — Confirm job details before submission. 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 standing out in the application process for the Data Engineer role at PayPal . ATS Keywords to Include Python SQL Kafka GCP Spark Airflow Data Engineer Data Pipelines Data Quality Cloud Computing Data Infrastructure Data Processing Resume Tips for This Role Highlight your experience with Python , as it is a critical skill for this role. Emphasize familiarity with SQL and data manipulation tasks relevant to the job description. Showcase a project where you utilized Kafka or GCP to demonstrate practical experience. Use exact keywords from the job description to align your resume with ATS requirements without overstuffing. Avoid including unsupported claims or technologies that you cannot substantiate in your application. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated experiences 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 matches " Data Engineer " at PayPal . Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — PayPal NexisGrow.com does not charge any fees for job applications. PayPal PayPal is a technology company based in Chennai, Tamil Nadu, India, operating in a hybrid work mode. This Data Engineer role supports PayPal ’s global commerce ecosystem, focusing on secure and efficient transactions within the technology industry. The role involves designing data pipelines, building scalable storage solutions, ensuring data quality, and implementing transformations. It includes collaboration with engineers and stakeholders to optimize data workflows and improve system performance. This role enables early-career exposure to core data engineering tools such as Python , SQL , Kafka , GCP , Spark , and Airflow —practical skills essential for building a foundation in data engineering. Company Details Industry Technology Location Chennai, Tamil Nadu, 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+ years of experience, particularly from the eligible batches of 2023, 2024, 2025, or 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer The most important skills are Python, SQL, Kafka, GCP, Spark, and Airflow. ? 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 Review the technologies listed in the job description, prepare examples of relevant projects, practice SQL queries, understand data pipeline concepts, and familiarize yourself with PayPal's services. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, allowing for both remote and onsite work in Chennai, Tamil Nadu, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced data engineering tools and practices, enhancing skills in data management and cloud technologies. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your experience with Python, SQL, Kafka, and any relevant projects or responsibilities that align with the job description. ? 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 engineering teams and business stakeholders to optimize data workflows. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the experience requirement is 2+ years, making this role unsuitable for freshers. 🔗 Explore More on NexisGrow More jobs in Chennai 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