IN_Manager_ Data Engineer_Data Analytics_Advisory_Pune (Pune)

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics AI Management Level Manager Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Responsibilities Must have Candidates with minimum 5 years of relevant experience for 8-12 years of total experience (Architect / Managerial level). Deep expertise with technologies such as Data factory, Data Bricks (Advanced), Azure Fabric, SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services, Azure Data Fabric. Must be certified with Databricks Certified Data Engineer Associate/Professional (Architect / Managerial level) AND DP600 - Azure Fabric Analytics Engineer Associate OR DP700 - Azure Fabric Data Engineer Associate. Robust troubleshooting and debugging skills. Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. Experience in writing complex PySpark queries to perform data analysis. Mandatory skill sets - Azure Databricks, Pyspark, Datafactory, Azure Fabric Years of experience required : 8-12 yrs Education qualification B.Tech / M.Tech Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .