Job
Description
Not Applicable Specialism Data, Analytics AI Management Level Senior Manager Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. 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 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 . Summary Tech Senior manager s Should have overall experience in the range of 6 to 11 years in cloud role aws/azure 2. Should have handson experience of designing and implementing Data Management layer 3. Architect ETL solutions Design endtoend ETL solutions that align with business requirements, ensuring scalability, reliability, and performance. 4. Data Modeling Define and implement data models, schemas, and structures to support efficient data processing and storage. 5. Should have experience in processing Real time, nearreal time and batch data through data store (ODS, DWH, Data marts etc) 6. Exposure to multiple ETL technologies (Informatica, DataStage, Talend etc), Database (Oracle, DB2, Netezza, SQL server etc) and Reporting tool (Tableau, Qlik, Power BI etc) 7. Handson experience in RDBMS. 8. Deep experience in developing data processing tasks using ETL tool such as reading data from external sources, merge data, perform data enrichment and load in to target data destinations. 9. Exposure to one of oncloud or onpremise Data Lake would be preferred 10. Strong skills on data transformation 11. Exhibit strong techno functional capability that involves liaising with internal and external stakeholders from cross functional and technical backgrounds 12. Meet business user requirement by developing data management ecosystem 13. Experienced in endtoend solution delivery with knowledge of SQL, PL/SQL, ETL (backend development) for data transformation and application development 14. Problem solving and solution driven mindset requiring the ability to understand and convert functional requirements into an endtoend technical solution 15. Well versed with SDLC with an ability to deliver code, test, fix issues and bugs, conduct and close UAT with business stakeholders 16. Ability to guide team in terms of data modelling, solution design, technical solution feasibility 17. Deep experience in developing data processing tasks such as reading data from external sources, merge data, perform data enrichment and load in to target data destinations. 18. Experience in deployment and operationalizing the code. 19. Hands on experience with Snowflake/Redshift for AWS data marts or Synapse/SQL server for Azure data mart would be preferred 20. Improve functionality of existing systems 21. Integrate userfacing elements into applications 22. Working knowledge of application development involving backend (database), API and UI (frontend) code layer Mandatory skill sets Tech Senior Manager Preferred skill sets Tech Senior Manager Years of experience required 8+ Education qualification BE/BTech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Cloud Identity Optional 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 {+ 24 more} No
