NTT DATA

Data Engineer - TEM, Python, Julia

Plano, TX, US$93,816-$162,875Posted 2 days ago

Job Description

Req ID

378310

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 - TEM, Python, Julia to join our team in Plano, Texas (US-TX), United States (US).

Role Overview

We are seeking an Intermediate-Level Data Engineer with expertise in Test Data Management (TDM), Python, and Julia focusing on building, maintaining, and optimizing data pipelines and test data frameworks that enable high-quality, compliant, and scalable data delivery across clinical, financial, and operational domains.

Data Engineering Pipeline Development

  • Design, build, and maintain ETL/ELT data pipelines for enterprise data ingestion and transformation
  • Develop scalable processing solutions using Python and/or Julia
  • Implement reusable pipeline components and automation frameworks
  • Ensure reliable, high-performing pipelines supporting analytics and downstream systems

Test Data Management (TDM)

  • Design and implement test data management solutions for development and QA environments
  • Create synthetic and masked datasets aligned with privacy and compliance requirements
  • Support provisioning of test data to ensure availability and usability
  • Ensure test data reflects real-world conditions while maintaining regulatory compliance

Data Integration Transformation

  • Perform source-to-target mapping and implement transformation logic
  • Integrate data across enterprise systems to ensure consistency
  • Maintain data lineage, metadata, and technical documentation

Production Support Optimization

  • Provide L2/L3 support for data pipelines and workflows
  • Monitor and optimize pipeline performance and reliability
  • Troubleshoot issues and perform root cause analysis (RCA)
  • Support job scheduling and failure recovery processes

Data Quality Compliance

* Implemen...

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