IN-Associate  Azure/ETL D&A Advisory Mumbai

Line of Service

Advisory

Industry/Sector

FS X-Sector

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

Job Description & Summary – Associate 

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: 

 

- Azure/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: Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

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

Job Posting End Date