Azure Data Engineer_Bengaluru_Walk In( Face to Face)

Job description

**Role-Azure Data Engineer** **Skill Set-Azure, Databricks, PySpark, Python** **Experience Range-4-15 Yrs.** **Job Location -Bangalore** **Date- 4th July 2026 (Saturday)** **Venue Location-Brigade Bhuwalka icon, ITPB road, Pattandur Agrahara, Whitefield, Bangalore, Karnataka 560066** **Time-9:30 AM to 1:00 PM** Desired Competencies (Technical/Behavioral Competenc - y)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 analy - sisExtensive 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 mode - ls.Strong software engineer, you take pride in what you’re developing with a strong testing eth - os.String proficiency in Python programming, with a focus on data processing and analy - sisExtensive experience in designing, building, and optimizing ADB/PySpark pipelines and architectures, with a strong focus on supporting both batch and real-time data workflo - ws.Hand-on Experience with cloud technologies and big data concepts, especially in Azure Databricks, Azure Data Lake and Azure Data Fact - oryIn-Depth Knowledge of PySpark, including experience with PySpark performance tuning techniques to optimal processing efficie - ncyStrong SQL skills for querying and manipulating large datasets, with experience in optimizing complex queries for performa - nce Good-to- - HaveExperience in automating data workflows and implementing CI/CD pipelines for data applications, ensuring efficient deployment and monito - ringAny experience / knowledge in PowerShell, bash, perl scripting is desira - ble.Any Knowledge in BI Reporting tool (eg. Power BI) is a - plusExperience with Agile Methodology, Scrum Methodology is a - plusExperience in the financial sector is a plus, but not essen - tialExperience with DevOps tools such as GitLab and CI/CD pipelines is a p lus.