NTT DATA Global Delivery Services Ltd
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Bengaluru · Hybrid · 1-3 Yrs · Oct 20
Information Technology Support Services · 10000+ Employees · Tokyo, Japan
About NTT DATA At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you belong, learn, and build your network. Make this the place where you grow. Disclaimer: NTT DATA does not charge any fees at any stage of the recruitment process and does not authorize any third-party suppliers to solicit payments from potential candidates.
Hiring: Engineering
What employees say
+ good work life balance good management (also depends on client)
− compensation and other perks, increment is less
More reviews on the company profile.
Interview experience · Managed Services Engineer
2 technical rounds, 1 HR round , theory based questions half , practical questions half easy - moderate questions, there was requirement for fortinet and zscaler L2 support and hybrid / on site not sure, Have certific
Average difficulty · Bengaluru · 1,310 reports
More interview insightsJob description
Overview
Fabric Data Engineer - Pyspark Req ID: 390147 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.
Responsibilities
- Azure Data Engineering Design, develop, and maintain enterprise data solutions using Microsoft Azure.
- Build scalable data ingestion, transformation, and processing solutions.
- Develop and optimize data pipelines using Azure Data Factory, Azure Synapse Analytics, and/or Microsoft Fabric.
- Design solutions that integrate data from databases, APIs, files, SaaS platforms, cloud applications, and enterprise systems.
- Develop reusable data engineering frameworks and components.
- Implement batch and near-real-time data processing solutions. Monitor, troubleshoot, and optimize Azure data workloads.
- Support modernization and migration of legacy data platforms to Azure. 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.
- 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 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 Design and implement modern Data Lake, Lakehouse, and Data Warehouse architectures.
- 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: 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: Develop solutions using Fabric Lakehouse and Data Warehouse.
- Build pipelines using Fabric Data Factory.
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Job application FAQ
Last updated 25 October 2026
- How do I apply for Data Engineer - Microsoft Fabric & PySpark at NTT DATA Global Delivery Services Ltd?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. NTT DATA Global Delivery Services Ltd may attach structured assessments to interview rounds after you apply.
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- Is Data Engineer - Microsoft Fabric & PySpark remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - Microsoft Fabric & PySpark role at NTT DATA Global Delivery Services Ltd?
- This is a mid-level Data Engineer - Microsoft Fabric & PySpark role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.