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Senior Data Engineer - Payments & Banking

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NTT DATA

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Location:
United States , Atlanta

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Senior Data Engineer role focuses on designing and maintaining data pipelines for payments and banking systems. Candidates should have at least 5 years of experience in data engineering, strong skills in SQL and Python, and familiarity with cloud platforms like Azure. A bachelor's degree in a related field is preferred. This position requires collaboration in an Agile environment and a commitment to data integrity and compliance.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
April 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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