Sr. Data Analyst

Job Description Senior Data Engineer – Payments & Banking Location: Atlanta, GA (Hybrid – 3 days/week mandatory in office) Intro 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. NTT DATA's Client is currently seeking an Sr Data Analyst to join our team in Atlanta, Georgia (US‑GA), United States (US).

Day to Day Job Duties Design, develop, and maintain scalable batch and real‑time data pipelines supporting payment processing, card transactions, billing, and banking systems Build and automate ETL/ELT workflows for ingestion, transformation, aggregation, and loading of high‑volume financial data Develop and support Kafka integrations, including topics, producers, consumers, and streaming applications for near real‑time transaction processing Develop and optimize cloud‑native data solutions in Azure, leveraging services such as Azure Data Factory (ADF), Azure Synapse, Azure Data Lake, and Event Hubs Build and manage enterprise data platforms using Snowflake, including data modeling, performance tuning, clustering, and secure data sharing Develop ETL/ELT workflows using Python and SQL for ingestion, transformation, validation, and aggregation of high‑volume financial data Translate payment and banking data requirements into functional specifications, mapping documents, and technical designs Ensure data accuracy, integrity, security, and compliance (including PCI‑DSS and financial regulatory requirements) Optimize SQL queries and tune RDBMS performance for high‑throughput transactional environments Design and maintain enterprise microservices (security, logging, APIs) using Java/Spring Boot where applicable Monitor data pipeline performance and implement optimization and corrective actions Collaborate with product owners, architects, QA, and compliance teams in an Agile environment Troubleshoot and resolve complex production issues across data platforms and transaction systems Work on‑site 3 days per week to support collaboration, architecture discussions, and agile ceremonies Basic Qualifications Bachelor's degree in Computer Science, Engineering, or related technical field Minimum 5+ years of experience in Data Engineering or Data Warehouse environments Minimum 5+ years of strong experience designing, building, and maintaining batch and real‑time data pipelines 5+ years of proven experience in the payments, banking, or financial services industry, supporting transaction‑based systems 5+ years of strong expertise in SQL, PL/SQL, and query optimization Hands‑on experience with any ETL/ELT tool Minimum 5+ years of experience working with relational databases such as Oracle, DB2, Teradata, SQL Server 5+ years of experience with Kafka or streaming platforms Minimum 5+ years of strong programming skills in Java and/or Python Minimum 5+ years of experience developing API integrations with cloud or enterprise systems Minimum 5+ years of experience with Unix Shell scripting Understanding of data modeling concepts and ETL frameworks Minimum 5+ years of experience working in Agile environments Travel Minimal travel expected Nice to have (but not a must) Experience supporting PCI‑DSS compliant environments Experience handling large structured and unstructured datasets Experience with CI/CD and DevOps practices Prior experience working on high‑volume payment gateways or banking transaction platforms What We're Looking For A strong Data Engineer who understands transactional data systems and financial data flows Someone comfortable working in regulated, security‑sensitive banking environments A problem solver who can optimize high‑volume systems and ensure data integrity A collaborative team player who can clearly communicate complex technical concepts Equal Employment Opportunity 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.

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