Data Engineer
Talentmate
India
20th February 2026
2602-5494-284
Job Description
Overview
About the Role
We are seeking a skilled Data Engineer to join the PDP team and contribute to building scalable, reliable data pipelines that power PayPals payments ecosystem. You will work on high-volume data processing, real-time eventing, and analytics infrastructure that directly impacts PayPals financial operations and business intelligence.
Responsibilities
Key Responsibilities
- Design, develop, and maintain large-scale data pipelines processing millions of payment events daily
- Build and optimize Apache Spark jobs for batch and streaming data processing
- Develop complex SQL queries and transformations for data analysis and reporting
- Implement data models and schemas in GCP BigQuery for analytics and downstream consumption
- Ensure data quality, completeness, and correctness through validation and reconciliation frameworks
- Collaborate with cross-functional teams (Finance, Risk, Analytics) to understand data requirements and deliver solutions
- Troubleshoot and resolve data pipeline issues with minimal supervision
- Contribute to platform modernization and cloud migration initiatives
- Participate in code reviews, design discussions, and technical documentation
Required Qualifications (Must Have)
- Experience: 3+ years of experience as a Data Engineer or similar role
- Apache Spark: Proven hands-on experience with Spark for big data processing (Spark SQL, DataFrames, Datasets)
- SQL: Strong ability to write complex SQL queries for data manipulation, transformation, and analysis
- Programming: Expertise in Scala (highly preferred) or Python
- Cloud Data Stores: Experience with Google Cloud Platform (GCP), particularly BigQuery for data warehousing and analytics
- Problem Solving: Excellent analytical and problem-solving skills with ability to work independently with minimal support
- GCP certification (e.g., Professional Data Engineer)
- Familiarity with distributed systems concepts and architecture
- Experience with big data processing tools and techniques (Kafka, Pub/Sub, Dataflow)
- Experience with real-time streaming data pipelines
- Knowledge of data modeling and schema design best practices
- Exposure to AI/ML concepts and applications
- Experience in payments, fintech, or financial services domain
Job Details
| Role Level: | Mid-Level | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Chennai ,Tamil Nadu |
| Company Website: | https://www.prodapt.com/ | Job Function: | Information Technology (IT) |
| Company Industry/ Sector: |
Technology Information and Internet | ||
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