TCS Hiring for Azure Data Engineer

Experience Range: - 06 To 12 Years (Mandatory)
(Note: Candidates below 6 years of IT experience shall not be considered)
JOB LOCATION: Pune

JOB DESCRIPTION

Must Have Skills:

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 robust 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 Skills:

Experience in automating data workflows and implementing CI/CD pipelines for data applications, ensuring efficient deployment and monitoring
Any experience / knowledge in PowerShell, 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 DevOps tools such as GitLab and CI/CD pipelines is a plus

Minimum Qualification:
15 years of Full Time Education

Interested candidates kindly share your updated resume to [email protected] along with filling the following details

📌 Azure Data Engineer (India)
🏢 Tata Consultancy Services
📍 India