Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

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.

Responsibilities: 

 

Develop and implement data pipelines using Azure Data Factory and Databricks. 

Work with stakeholders to gather requirements and translate them into technical solutions. 

Migrate data from various data sources to Azure Data Lake. 

Optimize data processing workflows for performance and scalability. 

Ensure data quality and integrity throughout the data lifecycle. 

Collaborate with data architects and other team members to design and implement data solutions. 

 

Mandatory skill sets: 

 

Strong experience with Azure Data Services, including Azure Data Factory (ADF), Synapse Analytics, and Databricks. 

Proficiency in SQL, data transformation and ETL processes. 

Hands-on experience with Azure Data Lake migrations and Python/Pyspark 

Strong problem-solving and analytical skills. 

Excellent communication and teamwork skills. 

 

Preferred skill sets: 

 

Azure Data Engineer Associate certification. 

Databricks Certification. 

 

Years of experience required: 

 

4 – 7 yrs 

Education qualification: 

 

BTech/MBA/MCA 

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

Optional Skills

Data Analysis in R

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