[Hiring] PBI 1 @NTT DATA Services

Role Description

In this role you will be responsible for:

• Design, develop, and maintain scalable data pipelines and data transformation solutions.
• Develop data processing logic using Python, PySpark, SparkSQL, and SQL.
• Build and optimize Delta Tables and Lakehouse data structures for analytics and reporting.
• Develop, schedule, monitor, and troubleshoot Pipelines for data ingestion and transformation.
• Create and maintain Fabric Notebooks for data engineering, transformation, and automation workloads.
• Partner with architects, analysts, and Power BI teams to deliver reliable, high-quality enterprise data solutions.

Qualifications

• 3+ years of Data Engineering, ETL/ELT, or cloud data development experience.
• 3+ years of Strong hands-on experience with SparkSQL, PySpark, Delta Tables, Pipelines, and Fabric Notebooks.
• 3+ years of Experience with Microsoft Fabric, Azure data services, SQL, and modern Lakehouse/data warehouse concepts.
• 3+ years of Experience with Git, CI/CD, data quality, and production support practices.
• Bachelor's degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field, or equivalent professional experience.

Requirements

• 3+ years of Experience with OneLake, Fabric Lakehouse, Fabric Data Warehouse, and Azure Data Factory.
• 3+ years of Experience supporting Power BI and enterprise semantic/reporting solutions.
• 3+ years of Experience with Azure DevOps, Delta Lake, and large-scale enterprise datasets.

Work Environment

This is a fully remote position. Candidates must be comfortable collaborating with business, product, data, engineering, QA, and other stakeholders in a distributed environment.