IN_Senior Associate_ Azure Data Engineer_D&A_Advisory_PAN India

Job Description

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . s Design, develop, and maintain scalable data pipelines using Azure data services such as Azure Data Factory, Azure Databricks, and Apache Spark. Implement efficient Extract, Transform, Load (ETL) processes to move and transform data across various sources. Knowledge about data warehousing concepts Extensive working experience in Azure Databricks Utilize Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, and other Azure data services to store and retrieve data. Performance optimization and troubleshooting capabilities Experience in working in pharma and/or healthcare clients will be a plus Technology SQL, ADF, Azure Databricks, ADLS, Synapse, PySpark Desired Candidate Profile B.E./B.Tech. (preferably in Computer Science) or MCA or Statistics/Applied Mathematics Experience in designing solutions with IaaS, PaaS, and SaaS. Proficient in data modeling and ETL pipeline implementation. Strong knowledge of Azure services. Proven track record in business development and client relationship management. Excellent communication and interpersonal skills. Mandatory skill sets Azure DE Preferred skill sets Azure DE