Data Engineer Advisor

NTT DATA North America; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA is seeking a Data Engineer Advisor to join our team in Chennai, Tamil Nadu, India. You will design and implement data platforms using Databricks, Delta Lake, and Spark, ensuring scalable, cost-effective data pipelines.

You will partner with cloud engineers and data scientists, optimize storage and compute, implement CI/CD for data workflows, and apply best practices for data quality and security in a global enterprise environment.

Qualifications

• Experience with Databricks, Delta Lake and Delta Live Tables.
• Strong Python (PySpark) and SQL skills.
• Experience with Terraform and CI/CD pipelines.

Responsibilities

• Architect and provision Databricks ecosystem across multi-workspace environments.
• Optimize storage using Delta Lake, Auto Loader, and DLT.
• Configure cluster sizing, autoscaling and cost controls.
• Collaborate with cloud engineers and data scientists to deliver scalable data platforms.

Skills

Databricks

Python (PySpark)

SQL

Shell scripting

Terraform

Git workflows

CI/CD tools

Cloud platforms

Apache Spark

Job description

Job Description: NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Data Engineer Advisor to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).

Technical Expertise

• Databricks Ecosystem: Mastery of Unity Catalog, Delta Lake, Photon engine, Serverless Compute, Databricks Asset Bundles (DABs), and Delta Live Tables (DLT).
• Core Languages: Advanced proficiency in Python (PySpark), SQL, and standard shell scripting languages (Bash / PowerShell).
• Infrastructure & DevOps: Strong experience with Terraform, git workflows, and CI/CD tools (e.g., Azure DevOps, GitHub Actions, or GitLab CI).
• Cloud Platforms: Hand-on experience administering data infrastructure on at least one cloud provider (AWS, Azure, or GCP).
• Distributed Systems: Complete understanding of Apache Spark core concepts, memory management, optimizations (Z-order, data skipping), and tuning.

Key Responsibilities

Platform Architecture & Foundation Build

• Architect and provision the core Databricks ecosystem across multi-workspace environments using cloud-native services (Azure, AWS, or GCP).
• Establish shared data structures and optimized storage strategies utilizing the Delta Lake format, Auto Loader, and Delta Live Tables (DLT).
• Implement cost-management strategies, configuring optimal cluster sizing, autoscaling, and serverless SQL warehouses to balance performance against cloud spend.

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.

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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.