Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism OracleManagement Level Senior Associate & 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.Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.*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 firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Responsibilities:Knowledge of Data extraction, transformation, and loading.xc2xb7 Good understanding of working with different date sources, data storage platforms.xc2xb7 Good understanding of the structured database schemas example: SQL database.xc2xb7 Strong knowledge of data integration - Azure Data Factoryxc2xb7 Strong knowledge of data storage system - Azure data lakexc2xb7 Good understanding of Microsoft Power Platformxc2xb7 Good understanding of data reporting platforms.xc2xb7 Knowledge of development, deployment, and maintenance of business intelligence interfaces.xc2xb7 Good understanding of setting business requirements for BI tools.xc2xb7 Good understanding of report curation and data modeling.xc2xb7 Good understanding of data warehouse design.xc2xb7 Good understanding of documenting contents in a data warehouse and meta-data storage.xc2xb7 Good understanding of creating technical documentation for BI toMandatory skill sets:Microsoft Power Platform, ETL, SQL, Azure data factoryPreferred skill sets:Azure data lake, , data warehousingYears of experience required:3+Education qualification:B.Tech/B.E./MCAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Structured Query Language (SQL)Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date

PwC