IN-Senior Manager- – Azure/ETL _D&A_Advisory_Mumbai

Line of Service AdvisoryIndustry/Sector FS X-SectorSpecialism Data, Analytics & AIManagement Level Senior ManagerJob Description & Summary 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 decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt 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 .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 – Associate DirectorResponsibilities:Role : ManagerExp : 10-14 yearsJob description :Good knowledge of Data Warehousing , Data Lakehouse & Data Modelling conceptsHands-on experience in Azure DataBricks & PysparkDesign and develop robust and scalable data pipelines using PySpark and Databricks.Implement ETL processes and metadata-driven frameworks to optimize data flow and quality.Should have experience in understanding the source to target mapping document and building optimized unit tested ETL pipelineShould have experience in Data profiling and ensure data quality and integrity throughout the data lifecycle.Hands-on experience in handling large data volumes and performance tuningShould have experience working in onsite/offshore modelShould have good communication and documentation skillsMandatory skill sets:– Azure/ETLPreferred skill sets:– Azure/ETLYears of experience required:10-14 yearsEducation qualification:BE/BTech/MBA/MCAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Tech PackOptional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 20 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date