Senior Data Engineer Data Modeler Payments Sector

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior Data Engineer / Data Modeler - Payments Sector

We are seeking a talented Senior Data Engineer / Data Modeler focused on the payments subsystem to enhance our banking technology team. This role involves designing developing and maintaining scalable data pipelines and models for real-time and batch payment processing settlement reconciliation and regulatory reporting. The ideal candidate will possess 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 pertaining to payments (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.

Guarantee data quality lineage and governance across payment processing flows.

Create and optimize data warehouses/lakes on cloud platforms like AWS or Azure.

Collaborate with architects developers and business analysts to align payment business processes with data models and schemas.

Implement real-time and batch data integration for critical applications such as fraud detection reconciliations settlement reporting and regulatory compliance.

Monitor and optimize 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:

Bachelors degree in Computer Science Information Systems or a related field (or equivalent experience).

7 years of experience in data engineering/data modeling within financial services or banking.

7 years of strong knowledge regarding payments domain concepts (auth clearing settlement reconciliation chargebacks fraud).

7 years of hands-on experience with data modeling techniques (3NF star/snowflake schemas dimensional modeling).

7 years of proficiency in SQL and familiarity with an ETL/ELT tool (DataStage Informatica Talend dbt).

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 technologies (Kafka Kinesis EventHub) and batch data pipelines.

7 years of 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.

Senior Data Engineer / Data Modeler - Payments Sector We are seeking a talented Senior Data Engineer / Data Modeler focused on the payments subsystem to enhance our banking technology team. This role involves designing developing and maintaining scalable data pipelines and models for real-time and...