NTT DATA North America
Data Engineer / Data Modeler (DataStage / Payments Subsystem)
NTT DATA North America, Atlanta, Georgia, United States, 30383
Company Overview:
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 Systems Integration Senior Specialist to join our team in Atlanta, Georgia (US-GA), United States (US).
Job Description:
We are looking for an experienced Data Engineer / Data Modeler to join our banking technology team, with a focus on the payment's 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. Key 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). Required Qualifications:
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. Strong knowledge of payments domain concepts (auth, clearing, settlement, reconciliation, chargebacks, fraud). Hands-on experience with data modeling (3NF, star/snowflake schemas, dimensional modeling). Proficiency with SQL and at least one ETL/ELT tool (DataStage, Informatica, Talend, dbt). Strong experience with cloud data platforms (AWS Redshift, Azure Synapse, Snowflake, Databricks). Proficiency in a programming language such as Python for data processing and automation. Experience with real-time streaming (Kafka, Kinesis, EventHub) and batch data pipelines. Familiarity with version control (Git) and CI/CD pipelines. Preferred Skills:
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. NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
#J-18808-Ljbffr
We are looking for an experienced Data Engineer / Data Modeler to join our banking technology team, with a focus on the payment's 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. Key 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). Required Qualifications:
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. Strong knowledge of payments domain concepts (auth, clearing, settlement, reconciliation, chargebacks, fraud). Hands-on experience with data modeling (3NF, star/snowflake schemas, dimensional modeling). Proficiency with SQL and at least one ETL/ELT tool (DataStage, Informatica, Talend, dbt). Strong experience with cloud data platforms (AWS Redshift, Azure Synapse, Snowflake, Databricks). Proficiency in a programming language such as Python for data processing and automation. Experience with real-time streaming (Kafka, Kinesis, EventHub) and batch data pipelines. Familiarity with version control (Git) and CI/CD pipelines. Preferred Skills:
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. NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
#J-18808-Ljbffr