Join NTT DATA, a global technology leader, and contribute to innovative data solutions. This fully remote position focuses on building and maintaining robust data infrastructure. We seek passionate individuals eager to grow within a forward-thinking organization.

NTT DATA is dedicated to accelerating client success and making a positive societal impact through responsible innovation. As a premier AI and digital infrastructure provider, we offer unparalleled expertise in enterprise-scale AI, cloud, security, and application services. Our consulting and industry solutions empower organizations to navigate the digital future sustainably. We are a Global Top Employer with experts across more than 50 countries and a strong R&D investment.

As a PBI 1, you will be instrumental in designing, developing, and maintaining scalable data pipelines and transformation solutions. Your role will involve developing data processing logic using Python, PySpark, SparkSQL, and SQL.

You will construct and optimize Delta Tables and Lakehouse data structures for enhanced analytics and reporting. Responsibilities also include developing, scheduling, monitoring, and troubleshooting data ingestion and transformation pipelines. Additionally, you will create and maintain Fabric Notebooks for data engineering, transformation, and automation tasks, collaborating closely with architects, analysts, and Power BI teams to deliver high-quality enterprise data solutions.

This role requires a minimum of 3 years of experience in Data Engineering, ETL/ELT, or cloud data development. A strong hands-on background with SparkSQL, PySpark, Delta Tables, Pipelines, and Fabric Notebooks is essential.

Proficiency in Microsoft Fabric, Azure data services, SQL, and modern Lakehouse/data warehouse concepts is expected. Experience with Git, CI/CD, data quality, and production support practices is also a prerequisite. A Bachelor's degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field, or equivalent professional experience, is required.