Req ID: 375787

NTT DATA strives to hire exceptional, creative and passionate individuals who
want to grow with us. If you want to be part of an inclusive, adaptable, and
forward-thinking organization, apply now.

We are currently seeking a Data Engineer - Fabric Pipelines / Orchestration to
join our team in Delhi, Delhi (IN-DL), India (IN).

"Job Title: Data Engineer – Core Team (Offshore)
Program: Symphony
Client: The Coca-Cola Company (TCCC)
Engagement Type: Contract
Model: Core Team
Location: Remote
Start Date: ASAP
Duration: Ongoing (Quarterly renewal)
Day to Day Job Duties:
•Migrate Spark Job Definitions from Synapse to Fabric (32)
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.
Basic 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.
Travel: Remote
Degree: Bachelor’s degree in Computer Science, Information Technology, or a
related field, or equivalent work experience.
Nice to Have:
• Experience with Microsoft Fabric.
• Background in marketing data or consumer goods anal

📌 Data Engineer (Delhi)
🏢 NTT DATA Services
📍 Delhi