IN_Senior Associate_Azure Fabric Engineer_Data Analytics_Advisory_Bangalore

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & 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. 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 purpose-led and values-driven 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 . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary:   A career within….   A career within Data and Analytics services will provide you with the opportunity to help   organisations   uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of   organisational   technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their   organisations   in order to   keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to   leverage   data, understand and navigate risk, and help our clients gain a competitive edge.      Responsibilities :     Must have:   •Candidates with minimum   3   years of relevant experience for   4 - 8   years of total experience.   •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.   •Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level)   •Strong 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   Preferred skill sets:   Azure Databricks ,   Pyspark ,   Datafactory , Python, Azure   Devops     Years of experience   required :       4 -8yrs   Education qualification :     B.Tech   /   M.Tech   / M.E / MCA/ B.E   Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank,