Data Engineer / Data Modeler (DataStage / Payments Subsystem / FTE / Onsite)

NTT DATA • Atlanta, GA

3h • Onsite

About The Position

We are looking for an experienced Data Engineer / Data Modeler to join our banking technology team, with a focus on the payment subsystem. The role involves designing, developing, and maintaining scalable data pipelines and models to support real-time and batch payment processing, settlement, reconciliation, and regulatory reporting. The ideal candidate will have strong expertise in data modeling, ETL development, cloud data platforms, and modern data engineering practices. Design and implement logical and physical data models for the payment's domain (merchant onboarding, transactions, clearing, settlement, funding, fraud/risk, reporting). Develop ETL/ELT pipelines to integrate data from core banking systems, payment gateways, and external partners into enterprise data stores. Ensure data quality, lineage, and governance across payment processing flows. Build and optimize data warehouses/lakes on cloud platforms (AWS or Azure). Collaborate with architects, developers, and business analysts to map payment business processes into data models and schemas. Implement real-time and batch data integration for use cases such as fraud detection, reconciliations, settlement reporting, and regulatory compliance. Monitor and tune pipelines for scalability, performance, and cost efficiency. Partner with security and compliance teams to enforce data privacy and regulatory requirements (PCI-DSS, SOX, AML/KYC).

Requirements

• Bachelor's degree in computer science, Information Systems, or related field (or equivalent experience).
• 7+ years of data engineering / data modeling experience in financial services or banking.
• 7+ years of Strong knowledge of payments domain concepts (auth, clearing, settlement, reconciliation, chargebacks, fraud).
• 7+ years of Hands-on experience with data modeling (3NF, star/snowflake schemas, dimensional modeling).
• 7+ years of Proficiency with SQL and at least one ETL/ELT tool (DataStage, Informatica, Talend, dbt).
• 7+ years of Strong experience with cloud data platforms (AWS Redshift, Azure Synapse, Snowflake, Databricks).
• 7+ years of Proficiency in a programming language such as Python for data processing and automation.
• 7+ years of Experience with real-time streaming (Kafka, Kinesis, EventHub) and batch data pipelines.
• 7+ years of Familiarity with version control (Git) and CI/CD pipelines.

Nice To Haves

• Knowledge of regulatory and compliance requirements in payments/banking.
• Understanding of API-based integration for payment systems.
• Familiarity with containerization (Docker, Kubernetes) for data services deployment.

Responsibilities

• Design and implement logical and physical data models for the payment's domain (merchant onboarding, transactions, clearing, settlement, funding, fraud/risk, reporting).
• Develop ETL/ELT pipelines to integrate data from core banking systems, payment gateways, and external partners into enterprise data stores.
• Ensure data quality, lineage, and governance across payment processing flows.
• Build and optimize data warehouses/lakes on cloud platforms (AWS or Azure).
• Collaborate with architects, developers, and business analysts to map payment business processes into data models and schemas.
• Implement real-time and batch data integration for use cases such as fraud detection, reconciliations, settlement reporting, and regulatory compliance.
• Monitor and tune pipelines for scalability, performance, and cost efficiency.
• Partner with security and compliance teams to enforce data privacy and regulatory requirements (PCI-DSS, SOX, AML/KYC).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees