Data Engineer - TEM, Python, Julia

NTT DATA North America is a global innovator of business and technology services. They are seeking an Intermediate-Level Data Engineer with expertise in Test Data Management, Python, and Julia to support the Project Sunshine initiative, focusing on building, maintaining, and optimizing data pipelines and test data frameworks for high-quality data delivery across various domains.

Responsibilities:

• 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
• 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
• Perform source-to-target mapping and implement transformation logic
• Integrate data across enterprise systems to ensure consistency
• Maintain data lineage, metadata, and technical documentation
• 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
• Implement validation rules and reconciliation processes
• Ensure adherence to data governance and healthcare regulatory standards
• Improve data quality, consistency, and trustworthiness
• Work with data architects, QA teams, and business stakeholders
• Translate business needs into technical pipeline and TDM solutions
• Participate in Agile development cycles and code reviews

Requirements:

• 3-6 years of experience in Data Engineering or ETL development
• Hands-on experience with Python and/or Julia
• Experience implementing Test Data Management (TDM) practices
• Strong SQL and data transformation skills
• Experience working with large, complex datasets
• Python, Julia programming
• ETL/ELT tools and pipeline orchestration
• Data platforms (Databricks, Snowflake, Azure Data Lake, etc.)
• Data integration and transformation techniques
• Test data management and data masking
• Experience with healthcare data environments
• Knowledge of HIPAA and regulatory compliance requirements
• Experience with cloud data platforms (Azure preferred)
• Exposure to data modernization initiatives