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 productive, scalable, and high-performing data models.
Solid software engineer, you take pride in what youre 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
Robust 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

📌 Azure Data Engineer 6 Years To 12 Years Pune
🏢 Tata Consultancy Services
📍 Pune