Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.

In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.

*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: 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 10-12 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. *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. " Mandatory skill sets: · Azure Databricks, Pyspark, Datafactory Preferred skill sets: · Azure Databricks, Pyspark, Datafactory, Python, Azure Devops

Mandatory skill sets:

· Azure Databricks, Pyspark, Datafactory

Preferred skill sets:

· Azure Databricks, Pyspark, Datafactory, Python, Azure Devops

Years of experience required:

9-15yrs

Education qualification:

B.Tech / M.Tech / M.E / MCA/B.E

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP HANA

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Coaching and Feedback, Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy {+ 22 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date