NTT DATA is seeking a Data Engineer / Data Modeler to join their banking technology team, focusing on the payment's subsystem. The role aims to design, develop, and maintain scalable data pipelines and models to support critical payment processing functions like real-time and batch payment processing, settlement, reconciliation, and regulatory reporting.
Requirements
- 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 IBM Data Stage & data modeling (3NF, star/snowflake schemas, dimensional modeling).
- Proficiency with SQL and at least one ETL/ELT tool (DataStage, Informatica, Talend, dbt).
- Strong 7+ years of 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.
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.
Other
- Bachelor's degree in computer science, Information Systems, or related field (or equivalent experience).
- Partner with security and compliance teams to enforce data privacy and regulatory requirements (PCI-DSS, SOX, AML/KYC).
- Knowledge of regulatory and compliance requirements in payments/banking.
- Understanding of API-based integration for payment systems.
- Familiarity with version control (Git) and CI/CD pipelines.
