IN-Manager –Tech Manager-Data and Analytics-Advisory – Mumbai

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job 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 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 –  Tech Manager

Responsibilities:

Should have overall experience in the range of 6 to 11 years.

2. Should have hands-on experience of designing and implementing Data Management layer

3. Architect ETL solutions: Design end-to-end 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, near-real 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. Hands-on 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 on-cloud or on-premise 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 end-to-end 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 end-to-end 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 user-facing elements into applications

22. Working knowledge of application development involving backend (database), API and UI (front-end) code layer

Mandatory skill sets:

- Tech Manager

Preferred skill sets:

- Tech Manager

Years of experience required:

8+

Education qualification:

BE/BTech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Tech Pack

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 {+ 17 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date