Azure Data Engineer

TCS is Hiring Azure Databricks, Pyspark For Hyderabad location

Experience  : 5 - 12 years

Mode of interview :
Walkin

Location  :
Hyderabad

Please apply only if you can attend a in person drive at TCS Hyderabad office on 7th February 2026 (Saturday).

JOB DESCRIPTION:

Must have:
Minimum of 5 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 Data Factory
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

Good to have:
Experience in automating data workflows and implementing CI/CD pipelines for data applications, ensuring efficient deployment and monitoring
Any experience / knowledge in Power Shell, bash, perl scripting is desirable.
Any Knowledge in BI Reporting tool (eg. Power BI) is a plus

Experience with Agile Methodology, Scrum Methodology is a plus
Experience in the financial sector is a plus, but not essential

Experience with Dev Ops tools such as Git Lab and CI/CD pipelines is a plus