Data Engineer

Company Overview:

Req ID: 389022

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 - xLT to join our team in Remote, Georgia (US-GA), United States (US).

Job Description:

"Fabric Pipelines, Notebooks, Pyspark Development, SQL, Delta Tables

Microsoft Azure Data Engineer – USA

Position Summary

We are seeking an experienced Microsoft Azure Data Engineer to join our growing Data & Analytics organization in the United States. The ideal candidate will have strong hands-on experience with Microsoft Azure data services, Azure Synapse Analytics and/or Microsoft Fabric, data engineering, data integration, data transformation, and enterprise data platforms.

The Microsoft Azure Data Engineer will be responsible for designing, developing, implementing, and optimizing scalable data pipelines, data warehouses, Lakehouses, and enterprise data solutions using the Microsoft Azure data ecosystem.

Candidates should have significant experience working with Azure Synapse Analytics or Microsoft Fabric, with experience across both platforms considered highly desirable.

This role will work closely with data architects, Power BI developers, analysts, software engineers, DevOps engineers, and business stakeholders to build reliable, scalable, secure, and high-performing enterprise data platforms.

Work Location: United States (Remote)

Key Responsibilities

5+ years of experinece in Azure Data Engineering

5+ years of experinece in Design, develop, and maintain enterprise data solutions using Microsoft Azure.

5+ years of experinece in Build scalable data ingestion, transformation, and processing solutions.

5+ years of experinece in Develop and optimize data pipelines using Azure Data Factory, Azure Synapse Analytics, and/or Microsoft Fabric.

5+ years of experinece in Design solutions that integrate data from databases, APIs, files, SaaS platforms, cloud applications, and enterprise systems.

5+ years of experinece in Develop reusable data engineering frameworks and components.

Implement batch and near-real-time data processing solutions.

5+ years of experinece in Monitor, troubleshoot, and optimize Azure data workloads.

5+ years of experinece in Support modernization and migration of legacy data platforms to Azure.

5+ years of experinece in Azure Synapse Analytics & Microsoft Fabric

Design and develop data solutions using Azure Synapse Analytics and/or Microsoft Fabric.

Build enterprise data warehouses and Lakehouse solutions.

Develop data pipelines and orchestration workflows.

Work with Synapse Pipelines, Fabric Data Factory, and Azure Data Factory.

5+ years of experinece in Develop notebooks using Python, PySpark, and Spark SQL.

Build and optimize data transformation processes.

Work with Synapse SQL, Fabric Data Warehouse, Fabric Lakehouse, and related technologies.

Support migration and modernization initiatives between traditional Azure architectures, Azure Synapse, and Microsoft Fabric.

Evaluate appropriate technologies based on performance, scalability, cost, security, and business requirements.

ETL/ELT & Data Integration

5+ years of experinece in Design and develop robust ETL and ELT pipelines.

Ingest structured, semi-structured, and unstructured data from multiple enterprise sources.

Integrate data from databases, APIs, files, SaaS applications, and cloud platforms.

Develop reusable ingestion and transformation frameworks.

Implement incremental data loads and Change Data Capture (CDC) strategies.

Develop data validation, reconciliation, and error-handling processes.

Troubleshoot pipeline failures and data integration issues.

Optimize pipelines for performance, scalability, reliability, and cost.

Data Lake, Lakehouse & Data Warehouse

5+ years of experinece in Design and implement modern Data Lake, Lakehouse, and Data Warehouse architectures.

5+ years of experinece in Work with Azure Data Lake Storage Gen2 and Microsoft OneLake.

Implement Bronze, Silver, and Gold data layers.

Design dimensional data models using Star and Snowflake schemas.

Develop fact and dimension tables.

Implement Slowly Changing Dimensions (SCD).

Work with Delta Lake and related technologies.

Implement partitioning and performance optimization strategies.

Support enterprise data warehouse modernization and migration initiatives.

Azure Data Platform

Work with Microsoft Azure technologies including:

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage Gen2

Azure SQL Database

Azure SQL Managed Instance

Azure Functions

Azure Key Vault

Azure Event Hubs

Azure Storage

Microsoft Entra ID

Microsoft Fabric

Additional responsibilities include:

5+ years of experinece in Develop integrations between Azure services and enterprise applications.

Implement secure and scalable cloud data architectures.

Support cloud migration and modernization initiatives.

Monitor Azure resources and optimize platform performance and cost.

Apply cloud architecture and engineering best practices across data solutions.

Microsoft Fabric

Where Microsoft Fabric is utilized, responsibilities may include:

5+ years of experinece in Develop solutions using Fabric Lakehouse and Data Warehouse.

Build pipelines using Fabric Data Factory.

Develop Dataflows Gen2.

Work with OneLake.

Develop Fabric Notebooks using PySpark, Python, and Spark SQL.

Implement Delta Lake-based data architectures.

Support Direct Lake and Power BI integration.

Manage Fabric workspaces and deployment processes.

Monitor and optimize Fabric capacity utilization.

Python, PySpark & Data Processing

Develop scalable data transformation "

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is [90 - 100 $ W2 hourly range]. 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

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 endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.