Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& 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 data enablement at PwC, you will focus on innovating and delivering digital services for a given enterprise resource planning (ERP) or area of the business. You will have specialised knowledge of your given ERP or business area, coupled with broader skills in data extraction, acquisition, manipulation, visualisation and modelling, as well as IT controls, to support delivering services to clients (internal or external).

*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:

- Hands on Experience in Azure Data Components like ADF / Databricks / Azure SQL
- Good Programming Logic Sense in SQL
- GoodPySparkknowledge for Azure Data Bricks
- Data Lake and Data Warehouse Concept Understanding
- Unit and Integration testing understanding
- Good communication skill to expressthoghtsand interact with business users
- Understanding of Data Security and Data Compliance
- Agile Model Understanding
- Project Documentation Understanding
- Certification (Good to have)
- Domain Knowledge

Mandatory skill sets:

Databricks/Pyspark, azure data factory azuredatalake, ADS

Preferred skill sets:

Databricks/Pyspark, azure data factory azuredatalake, ADS

Years of experiencerequired

2to10years

Education qualification:

Graduate Engineer or Management Graduate

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

Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

PySpark

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Auditing Methodologies, Communication, Creativity, Data Analysis and Interpretation, Data Analytics, Data Cleaning, Data Collection, Data Engineering, Data Error Checking, Data Ingestion, Data Integration, Data Integrity, Data Interpretation, Data Management, Data Quality, Data Quality Assessment, Data Security, Data Transformation, Embracing Change, Emotional Regulation, Empathy {+ 17 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

April 21, 2026