PBI 1

NTT DATA Group; Bengaluru; À distance; INR 1 500 000 - 2 500 000; Plein temps

Résumé du poste

NTT DATA is seeking a Data Engineer (PBI 1) to join our team in Bangalore, Karnataka. You will design and maintain scalable data pipelines, develop Python-based data processing, and optimize Delta Tables for analytics and reporting.

You will collaborate with architects, analysts, and Power BI teams to deliver enterprise data solutions using Fabric, Azure data services, and modern lakehouse concepts.

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.

Responsabilités

• 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.

Connaissances

SparkSQL

PySpark

Delta Tables

Pipelines

Fabric Notebooks

SQL

Git

CI/CD

Data quality

Production support

Formation

Bachelor's degree in CS/IT or related field

Outils

OneLake

Fabric Lakehouse

Fabric Data Warehouse

Azure Data Factory

Azure DevOps

Delta Lake

Power BI

Description du poste

We are currently seeking a PBI 1 to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

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,

Position's General Duties and Tasks

• 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.

Requirements for This Role Include

• 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.

Preferences

• 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.

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

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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 .

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