Senior Data Engineer - Payments & Banking (Onsite Hybrid)

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

 

We are currently seeking a Senior Data Engineer - Payments & Banking (Onsite Hybrid) to join our team in Atlanta, Georgia (US-GA), United States (US).

 

Senior Data Engineer – Payments & Banking

Location: Atlanta, GA (Hybrid – 3 days/week mandatory in office)

 

Job Responsibilities Include: 

• Design, develop, and maintain scalable batch and real-time data pipelines supporting payment processing, card transactions, billing, and banking systems
• Build and automate ETL/ELT workflows for ingestion, transformation, aggregation, and loading of high-volume financial data
• Develop and support Kafka integrations, including topics, producers, consumers, and streaming applications for near real-time transaction processing
• Develop and optimize cloud-native data solutions in Azure, leveraging services such as Azure Data Factory (ADF), Azure Synapse, Azure Data Lake, and Event Hubs
• Build and manage enterprise data platforms using Snowflake, including data modeling, performance tuning, clustering, and secure data sharing
• Develop ETL/ELT workflows using Python and SQL for ingestion, transformation, validation, and aggregation of high-volume financial data
• Translate payment and banking data requirements into functional specifications, mapping documents, and technical designs
• Ensure data accuracy, integrity, security, and compliance (including PCI-DSS and financial regulatory requirements)
• Optimize SQL queries and tune RDBMS performance for high-throughput transactional environments
• Design and maintain enterprise microservices (security, logging, APIs) using Java/Spring Boot where applicable
• Monitor data pipeline performance and implement optimization and corrective actions
• Collaborate with product owners, architects, QA, and compliance teams in an Agile environment
• Troubleshoot and resolve complex production issues across data platforms and transaction systems
• Work on-site 3 days per week to support collaboration, architecture discussions, and agile ceremonies

 

Basic Qualifications: 

• Minimum 5+ years of experience in Data Engineering or Data Warehouse environments
• Minimum 5+ years of strong experience designing, building, and maintaining batch and real-time data pipelines
• 5+ years of proven experience in the payments, banking, or financial services industry, supporting transaction-based systems
• 5+ years of strong expertise in SQL, PL/SQL, and query optimization
• Minimum 5+ years of experience working with relational databases such as Oracle, DB2, Teradata, SQL Server
• 5+ years of experience with Kafka or streaming platforms
• Minimum 5+ years of strong programming skills in Java and/or Python
• Minimum 5+ years of experience developing API integrations with cloud or enterprise systems
• Minimum 5+ years of experience with Unix Shell scripting
• Minimum 5+ years of experience working in Agile environments

 

Preferred Skills;

• Bachelor’s degree in Computer Science, Engineering, or related technical field
• Hands-on experience with any ETL/ELT tool
• Understanding of data modeling concepts and ETL frameworks
• Experience supporting PCI-DSS compliant environments
• Experience handling large structured and unstructured datasets
• Experience with CI/CD and DevOps practices
• Prior experience working on high-volume payment gateways or banking transaction platforms

 

What We’re Looking For

• A strong Data Engineer who understands transactional data systems and financial data flows
• Someone comfortable working in regulated, security-sensi