Data Engineer - & Modeler Informatica

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 - & Modeler Informatica to join our team in Plano, Texas (US-TX), United States (US).

Job Description: Data Engineer & Data Modeler - Intermediate Level
Project: Project Sunshine

Role Overview
We are seeking an Intermediate-Level Data Engineer & Data Modeler to support the Project Sunshine initiative. This role focuses on designing, building, and maintaining data pipelines and data models that enable scalable, high-quality data products across the organization.

Key Responsibilities
Data Engineering & Pipeline Development
Design, build, and maintain ETL/ELT data pipelines for data ingestion and transformation
Develop data integration workflows to support enterprise analytics
Implement scalable data processing frameworks and automation pipelines
Monitor pipeline execution and ensure data availability and reliability

Data Modeling & Design
Design logical and physical data models to support business requirements
Define data structures, relationships, and schemas across domains
Develop standardized data layers (e.g., Bronze/Silver/Gold)
Collaborate with stakeholders on data mappings and business logic

Data Integration & Quality
Perform source-to-target mapping and transformation design
Implement data quality checks and validation rules
Maintain data lineage, metadata, and documentation
Support integration of enterprise data sources

Production Support & Optimization
Provide L2/L3 support for data pipelines
Monitor and optimize pipeline performance
Perform root cause analysis and issue resolution
Support job scheduling and error handling processes

Collaboration & Delivery
Work with data architects, analysts, and BI teams
Translate business requirements into technical solutions
Support data platform modernization initiatives
Participate in Agile processes such as sprint planning and code reviews

Required Qualifications
3-6 years of experience in Data Engineering and/or Data Modeling
Experience building and maintaining enterprise data pipelines
Experience working with large, complex datasets
Technical Skills
Strong SQL and data modeling expertise
Experience with ETL/ELT tools (Informatica, DataStage, ADF, etc.)
Experience with Python, Spark, or similar frameworks
Familiarity with platforms such as Snowflake, Databricks, or Azure Data Lake
Knowledge of pipeline orchestration and integration patterns

Preferred Qualifications
Experience with Azure-based data platforms
Exposure to data governance and metadata management tools
Experience in healthcare or regulated environments
Experience supporting data modernization initiatives

Key Success Metrics
Reliable and timely pipeline execution
High-quality data models supporting analytics
Improved data quality and reduced errors
Successful support of Project Sunshine milestones

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is 90$/hr to 95$/hr . This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits

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