Posted:2 weeks ago|
Platform:
Work from Office
Full Time
Not Applicable Specialism SAP Management Level Senior Associate & Summary We are seeking a talented and experienced Azure Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining data pipelines and solutions on the Microsoft Azure platform. You will play a pivotal role in ensuring the smooth operation and efficiency of our data infrastructure, enabling datadriven decision making across the organization. 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 . Responsibilities Design, develop, and implement robust and scalable data pipelines using Azure services such as Azure Data Factory, Azure Databricks, Azure Cosmos DB, Azure SQL Database, and other relevant services. Develop and maintain data models, schema, and data quality processes. Collaborate with stakeholders to define and understand data requirements. Develop and implement data governance policies and procedures. Troubleshoot and resolve datarelated issues and performance bottlenecks. Stay uptodate on the latest Azure technologies and best practices. Contribute to the development and maintenance of documentation and technical standards. Participate in code reviews and provide technical guidance to team members. Mandatory skill sets Spark framework, PySpark, Azure Databricks, Azure SQL Database, ADF, Storage Account, Azure Data Explorer Preferred skill sets Trino, Apache Airflow Years of experience required 4 to 8 years Education qualification Bachelors degree in computer science, engineering, or a related field. Education Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Required Skills Microsoft Azure Databricks, Microsoft Azure Data Explorer, PySpark Optional Skills Apache Web Server No
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