Job Description

Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Data, Analytics & AI

Management Level

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 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:

Role :

Consultant/Senior Consultant

Exp :

2-6 years

Job

description :

Good knowledge of Data

Warehousing ,

Data

Lakehouse &

Data Modelling concepts

Hands-on experience in Azure

DataBricks

&

Pyspark

Design and develop robust and scalable data pipelines using

PySpark

and Databricks.

Implement ETL processes and metadata-driven frameworks to

optimize

data flow and quality.

Should have experience in understanding the source to target mapping document and building optimized unit tested ETL pipeline

Should have experience in Data profiling and ensure data quality and integrity throughout the data lifecycle.

Hands-on experience in handling large data volumes and performance tuning

Should have experience working in onsite/offshore model

Should have

good communication

and documentation skills

Mandatory skill sets:

-

A

zure

/

ETL

Preferred skill sets:

-

Azure/ETL

Years of experience

required

:

2-6 years

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

Azure Machine Learning Studio

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 7 more}

Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No