Senior Associate Azure Data Engineer

IN_Associate 2_Azure Data Engineer_OC D&A_Advisory_Kolkata

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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*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 
- Good PySpark knowledge for Azure Data Bricks 
- Data Lake and Data Warehouse Concept Understanding 
- Unit and Integration testing understanding 
- Good communication skill to express thoghts and 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 azure datalake, ADS  

Preferred skill sets: 

Databricks/Pyspark, azure data factory azure datalake, ADS  

Years of experience required: 

2 to 10 years 

Education qualification: 

Graduate Engineer or Management Graduate 

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

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

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 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

April 9, 2026

Experience Level

Mid Level