Data Engineer

Tata Consultancy Services; Pune District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Tata Consultancy Services (TCS) in Pune is hiring an Azure Data Engineer to design and optimize data pipelines and data models for large-scale analytics. The role requires strong PySpark, Python, and SQL skills, and hands-on experience with cloud data services.

You will work with Azure Databricks and Azure Data Lake to build batch and real-time workflows, emphasize testing, and deliver scalable data architectures. 6+ years of experience and a passion for high-quality engineering are essential.

Qualifications

• Design, build, and optimize data pipelines and data models for large-scale analytics.
• Strong PySpark/SQL skills with a focus on performance.
• Hands-on experience with cloud data platforms and testing ethos.

Responsibilities

• Design and optimize data pipelines and data models.
• Develop PySpark data processing jobs for batch and real-time workloads.
• Work with Azure Databricks and Azure Data Lake to implement scalable architectures.
• Emphasize code quality and rigorous testing throughout the pipeline lifecycle.

Skills

PySpark

Python

SQL

Data pipelines

Data modeling

Testing ethos

Large-scale data processing

Big data concepts

Tools

Azure Databricks

Azure Data Lake

Job description

Hiring for Azure Data Engineer with TCS _Face to Face interview 8th Aug,2026

Dear Candidate,

We are hiring for Azure Data Engineer with Tata Consultancy Services (TCS).

Location: Pune

Experience: 6+ Years

• Minimum of 6 years of hands-on experience in designing, building, and optimizing data pipelines, data models and PySpark for large-scale data processing and analysis
• Extensive experience and deep expertise in data modeling and data model concepts, particularly with large datasets, ensuring the design and implementation of efficient, scalable, and high-performing data models.
• Strong software engineer, you take pride in what you’re developing with a strong testing ethos.
• String proficiency in Python programming, with a focus on data processing and analysis
• Extensive experience in designing, building, and optimizing ADB/PySpark pipelines and architectures, with a strong focus on supporting both batch and real-time data workflows.
• Hand-on Experience with cloud technologies and big data concepts, especially in Azure Databricks, Azure Data Lake and Azure Databricks
• In-Depth Knowledge of PySpark, including experience with PySpark performance tuning techniques to optimal processing efficiency
• Strong SQL skills for querying and manipulating large datasets, with experience in optimizing complex queries for performance