Azure Data Engineer

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

Job summary

Tata Consultancy Services in Chennai is seeking a Senior Azure Data Engineer with 8-10 years of experience to design and implement scalable data solutions on Microsoft Azure. The role requires hands-on expertise with Azure Databricks, Azure Data Factory, Synapse Analytics, Python and PySpark, and a proven ability to build end-to-end data pipelines that meet business requirements.

You will work with data architects and domain stewards to ensure robust architectures, performance optimization, and

Qualifications

• 5+ years of hands-on experience with Azure data technologies.
• Design and implement scalable data pipelines and data platforms.
• Proficiency in Python and Spark-based processing.
• Experience with data ingestion, curation, and transformation.
• Knowledge of cloud-based data architectures and data mesh concepts.

Responsibilities

• Provide technical expertise in Azure Databricks and Azure Data Factory for solution design and implementation.
• Design, develop, unit test, review, and enhance data pipelines and platforms.
• Build and maintain data infrastructure for data products.
• Develop ingestion, curation, transformation using Spark.
• Ensure scalable, reliable, and high-performance data architectures.
• Collaborate with Data Architects and Domain Data Stewards.

Skills

Azure Databricks

Azure Data Factory

Synapse Analytics

Python

PySpark

Spark

Tools

Azure SQL Database

Azure SQL Data Warehouse

Azure Synapse Analytics

Job description

# Azure Data EngineerTata Consultancy ServicesPosted on October 22, 2026---Experience8 - 10 yrsSalary (CTC)₹5.8L - ₹6.4LJob LocationChennai, IndiaVacancy3DesignationAzure Data EngineerJob TypeNot specified---## Job Description**Senior Azure Data Engineer****Experience:**8-10 Years**Location:** Chennai**Job Description**We are looking for an experienced **Senior Azure Data Engineer** with strong expertise in designing and implementing scalable data solutions using Microsoft Azure technologies. The ideal candidate should have hands-on experience with Azure Databricks, Azure Data Factory, Synapse Analytics, Python, PySpark, and Spark-based data processing.**Key Responsibilities*** Provide technical expertise in **Azure Databricks and Azure Data Factory** for solution design and implementation.* Design, develop, unit test, review, and enhance data platforms and pipelines.* Build and maintain infrastructure for data products, including data pipelines, storage systems, and processing engines.* Develop data ingestion, curation, and transformation solutions using Spark.* Ensure adherence to sound architecture and engineering best practices.* Optimize data infrastructure for scalability, reliability, performance, and resource utilization.* Minimize downtime and improve the overall efficiency of data platforms.* Collaborate with Data Architects and Domain Data Stewards to implement solutions aligned with business requirements and Data Mesh principles.**Mandatory Skills*** Minimum 5 **years of experience** implementing projects using Azure technologies.* Strong hands-on experience with **Azure Databricks and Azure Data Factory**.* Experience with **Azure SQL Database, Azure SQL Data Warehouse, and Azure Synapse Analytics**.* Proficiency in **Python and PySpark**.* Strong experience in data ingestion, data curation, and transformation using Spark.* Knowledge of data pipelines, storage systems, processing engines, and cloud-based data architecture.**Preferred Competencies*** Excellent verbal and written communication skills.* Strong interpersonal and collaboration skills.* Ability to work independently and within a team environment.* Strong analytical and problem-solving capabilities.