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NTT Data

Global IT services and consulting provider.

Pbi 1

Data EngineeringPosted on Nov 13
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

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

Responsibilities

  • 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.

Desired Qualifications

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

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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