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# Senior Data Engineer

- **Company:** NTT DATA, Inc.
- **Location:** Plano, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $129,938.0 - $157,144.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Computer Programming, Databases, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Digital Assets, Distributed Systems, Python (Programming Language), Oracle Databases, Performance Tuning, Amazon Simple Notification Service (SNS), SQL Stored Procedures, PL-SQL, SQL Databases, Systems Integration, Snowflake, Containerization, Apache Kafka, Data Management, Api Design, Amazon Simple Queue Service (SQS), Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c740e2d589eb308c

## About the Role

* 6+ years of Data Engineering experience.
 * 3+ years of hands-on experience with Oracle RDBMS, including SQL, PL/SQL, stored procedures, and query/performance optimization.
 * 3+ years of experience designing, developing, and supporting ETL and data integration solutions.
 * 2+ years of experience with messaging and event-driven technologies, such as Kafka, Amazon Kinesis, SNS, SQS, or similar platforms.
 * 2+ years of programming experience using Java and/or Python, with Java strongly preferred.
 * 1+ year of experience developing or supporting solutions in AWS cloud environments.

Preferred Qualifications:

 * Experience supporting production applications and data platforms, including troubleshooting and incident resolution
 * Experience building and maintaining end-to-end data pipelines
 * Experience with API-based integrations and distributed systems
 * Experience developing scalable, high-performance data solutions
 * Understanding of enterprise data architecture and integration patterns.

## Description

Senior Data Engineer to support the evolution of an enterprise customer profile platform and its integration with a broad ecosystem of applications. In this role, you will design, develop, and optimize data solutions, database platforms, and integration capabilities that power critical business processes and data assets. You will leverage cloud-native technologies, modern data engineering practices, and AWS and Snowflake capabilities to deliver scalable, reliable solutions that improve data accessibility, quality, and performance.


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