NTT DATA
Overview
Req ID: 342537
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 Data Engineer / Data Modeler to join our team in Atlanta, Georgia (US-GA), United States (US).
Position Summary
We are looking for an experienced
Data Engineer / Data Modeler
to join our banking technology team, with a focus on the
payments 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 .
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.
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
bath 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.
Job Title (for posting):
Data Engineer / Data Modeler – Payments Subsystem Location:
Atlanta/Hybrid
About NTT DATA 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. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
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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 Data Engineer / Data Modeler to join our team in Atlanta, Georgia (US-GA), United States (US).
Position Summary
We are looking for an experienced
Data Engineer / Data Modeler
to join our banking technology team, with a focus on the
payments 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 .
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.
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
bath 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.
Job Title (for posting):
Data Engineer / Data Modeler – Payments Subsystem Location:
Atlanta/Hybrid
About NTT DATA 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. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
#J-18808-Ljbffr