Azure Data Engineer - H

TymblHub; Chennai; On-site; INR 580,000 - 640,000; Full time

Job summary

HTata Consultancy Services in Chennai is seeking an Azure Data Engineer with 5–10 years of experience to lead on‑premises to cloud data modernization projects, migrating SQL Server and on‑prem data to cloud architectures. The role requires hands‑on work with Databricks, ADLS, and Snowflake, plus building Bronze/Silver/Gold data layers and data ingestion pipelines across Azure and AWS ecosystems.

Collaboration with analytics teams is essential, with focus on scalable architectures and AI-assisted

Qualifications

• 5–10 years of experience in data engineering and modernization programs.
• Experience migrating SQL Server/on-prem data to cloud architectures and ADLS-based platforms.
• Experience implementing Bronze, Silver, Gold data layers and cloud data pipelines.

Responsibilities

• Lead large-scale on-premises to cloud data modernization and migration projects.
• Migrate SQL Server/on-prem data to cloud architectures.
• Build and manage ADLS-based cloud data platforms and analytics ecosystems.
• Design and implement Bronze, Silver, Gold data layer architectures.
• Work with Azure and AWS data ecosystems and data ingestion pipelines.

Skills

Databricks

ADLS (Azure Data Lake Storage)

Snowflake

Bronze-Silver-Gold data layers

Cloud data ingestion

Azure/AWS data ecosystems

AI-assisted coding tools

Tools

Databricks

Snowflake

Azure Data Lake Storage (ADLS)

Job description

# Azure Data Engineer - HTata Consultancy ServicesPosted on October 22, 2026---Experience5 - 10 yrsSalary (CTC)₹5.8L - ₹6.4LJob LocationChennai, IndiaVacancy1DesignationAzure Data EngineerJob TypeNot specified---## Job Description**Role & responsibilities*** Proven experience in large-scale **on-premises to cloud data modernization and migration programs**.* Hands-on experience migrating:+ SQL Server / on-prem data platforms to cloud-based architectures.+ ADLS-based cloud data platforms into modern analytics ecosystems.+ AWS-hosted operational/contact center datasets into Snowflake.* Strong, recent hands-on experience with:+ **Databricks ( must have)**+ **Snowflake good to have**+ **Azure Data Lake Storage (ADLS) – (must have)**+ Cloud data ingestion and transformation pipelines – Must have* Experience implementing **Bronze, Silver, and Gold data layer architectures**.* Knowledge of both Azure and AWS data ecosystems preferred.Demonstrated experience using **AI-assisted coding/development tools** in enterprise