Data Engineer Advisor

NTT DATA, Inc.; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

NTT DATA is seeking a Data Engineer Advisor to join our Chennai team. The role focuses on architecting and provisioning the Databricks ecosystem across multi-workspace environments using cloud-native services on Azure, AWS, or GCP.

You will establish efficient data structures with Delta Lake, Auto Loader, and Delta Live Tables, while implementing cost-management strategies through optimized cluster sizing and autoscaling.

Qualifications

• Experience with the Databricks ecosystem, including Unity Catalog, Delta Lake, DLT, and Delta Live Tables.
• Advanced Python (PySpark), SQL, and shell scripting skills.
• Strong DevOps exposure: Terraform, Git workflows, and CI/CD tools.

Responsibilities

• 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 using Delta Lake, Auto Loader, and DLT.
• Implement cost-management strategies with proper cluster sizing and autoscaling.

Skills

Python (PySpark)

SQL

Shell scripting

Databricks

Terraform

CI/CD tooling

Cloud platforms

Apache Spark

Tools

Delta Lake

Delta Live Tables

Unity Catalog

Auto Loader

Azure DevOps

GitHub Actions

GitLab CI

Terraform

Job description

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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

• 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. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.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 .

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