IN_Manager_Azure Data Engineer_Data Analytics_Advisory

Job Description

Not Applicable Specialism Data, Analytics & AI & 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 decisionmaking 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. & Summary 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 5 years of relevant experience for 1012 years of total experience (Architect / Managerial level). Deep expertise with technologies such as Data factory, Data Bricks (Advanced), 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 Preferred skill sets Azure Databricks, Pyspark, Datafactory, Python, Azure Devops Years of experience required 712yrs Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Microsoft Azure Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Travel Requirements Government Clearance Required?