Hiring Azure Data Engineer For Pune

Job description

**Role - Azure Data Engineer** **Required Technical Skill Set - Azure, Databricks, PySpark, Python** - 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 youre 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 - 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.