NTT DATA Global Delivery Services Ltd
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Delhi · Remote · 8-11 Yrs · Aug 14
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
Data Engineer - Fabric Pipelines and Data Orchestration at NTT DATA Global Delivery Services Ltd. Will work on migrating Spark jobs from Synapse to Fabric, managing data pipelines, and performing code refactoring for scalability.
Responsibilities
- Migrate Spark Job Definitions from Synapse to Fabric
- Build Fabric Pipelines; Set up Data Orchestration
- Design, develop, and maintain data pipelines using Scala and SQL on Apache Spark
- Monitor and support Phase 1 pipelines post go-live
- Investigate and remediate pipeline failures, data quality issues, and performance bottlenecks
- Lead refactoring and cleanup of existing Phase 1 code
- Optimize existing solutions for performance and scalability
- Build and contribute to reusable patterns and automation frameworks
- Work within TCCC’s metadata-driven architecture
- Ensure pipelines are used strictly for scheduling — ETL logic must remain in code
- Manage code using GitHub version control
- Contribute to discovery sessions to derive requirements directly from data
Qualifications
- 8–10 years of hands-on data engineering experience
- Strong understanding of Apache Spark and its core concepts
- Proficiency in Scala and/or Java — code-first approach required
- Advanced SQL skills
- Experience with Azure Synapse
- Working knowledge of GitHub for source control
- Experience with data warehousing and large-scale data integration
- Bachelor’s degree in Computer Science, Information Technology, or a related field
Nice to have
- Experience with Microsoft Fabric
- Background in marketing data or consumer goods analytics
- Familiarity with metadata-driven architectures
Education
- Bachelor’s degree in Computer Science, Information Technology, or a related field
Benefits
- Remote flexibility
- Growth opportunities
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