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Data Engineer - Fabric Pipelines / Orchestration

NTT DATA nttdata.com Open · verified Oct 24, 2026
Delhi Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at NTT DATA. Delhi.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationDelhi
PostedSep 25, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Move Spark job definitions from Synapse into Fabric, then build pipelines that handle scheduling and orchestration
  • Develop and maintain Scala and SQL data pipelines on Apache Spark, keeping transformation logic in code
  • Support live Phase 1 pipelines by diagnosing failures, data quality problems and performance slowdowns
  • Refactor Phase 1 code, improve scalability, and create reusable patterns and automation
  • Use GitHub to manage code and join discovery sessions to shape data requirements

What you bring

  • At least eight years of hands-on data engineering experience
  • Strong Apache Spark knowledge, advanced SQL skills, and a code-first command of Scala or Java
  • Experience with Azure Synapse, data warehousing and large-scale data integration, plus working GitHub skills
  • A computer science or IT degree, a related qualification, or equivalent work experience

Who this fits

This suits a hands-on engineer who can mobilize immediately and work remotely from the offshore core team. The engagement is contract-based with quarterly renewals.

From the employer

Req ID: 375783

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, 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 analytics.
• Familiarity with metadata-driven architectures.
Non-Negotiables:
• Must be a hands-on builder.
• Must be available to mobilize immediately."

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 recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.