Walk-in | Azure Data Engineer

Tata Consultancy Services Limited; Chennai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tata Consultancy Services Limited in Chennai is seeking an Azure Data Engineer with 5–10 years of experience to join our data engineering team. You will work on designing and implementing cloud data ingestion, transformation and analytics solutions across Azure and AWS data ecosystems, focusing on modern data architectures and migration programs.

The role involves hands-on development with Databricks, Snowflake and ADLS, building Bronze/Silver/Gold data layers, and delivering scalable data

Qualifications

• Hands-on experience with Databricks, Snowflake and ADLS in cloud data pipelines.
• Experience with large-scale on-premises to cloud data modernization projects.
• Migration of SQL Server/on-prem data platforms to cloud architectures.
• Experience with Bronze, Silver, Gold data layer architectures in cloud data ecosystems.
• Knowledge of Azure and AWS data ecosystems is preferred.
• Familiarity with AI-assisted coding/development tools in enterprise environments.

Skills

Databricks

Snowflake

Azure Data Lake Storage

Cloud data ingestion

Data transformation pipelines

On-prem to cloud migration

SQL Server migration to cloud

ADLS cloud analytics

AWS Snowflake data integration

AI-assisted coding tools

Job description

Position: Azure Data engineer

Job Location: Chennai

Experience: 5-10 years

Notice Period: 90 days or above 90 days

Interview mode: WALK-IN-DRIVE

Walk-in-Details:

Date: Saturday 24th Oct 2026

Time: 9:00 AM 1:00 PM

BranchFull Address of Drive location

Chennai Tata Consultancy Services (TCS) Siruseri Campus

JD :

Detailed Job requirements

Must Have:

• Strong, recent hands‑on experience with:
• Databricks
• Snowflake
• Azure Data Lake Storage (ADLS)
• Cloud data ingestion and transformation pipelines
• 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.
• Cloud data ingestion and transformation pipelines
• 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