IN_Associate-Data and Analytics Engineering _Digital…

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Microsoft

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.

Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.

*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: A career within….

Responsibilities:

Required years of experience : 3-5 years

Engage in design, development and deployment of data integration solutions employing a three-tiered ETL methodology. 

Utilize Python and Py-Spark to extract data from diverse sources, execute transformative operations including filtering and joining, and dispatch processed data to designated destinations. 

Understanding and experience with Azure Databricks will be preferred.

Knowledge of advanced Python programming concepts is compulsory

Mandatory skill sets:

Python/pySpark/Azure Databricks

Preferred skill sets:

Python/pySpark/Azure Databricks

Years of experience required:

2-4 Years

Education qualification:

B.Tech/B.E.

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

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Daily Scrum, Data Analytics, Data Architecture Development, Data-Driven Insights, Data Ingestion, Data Reporting, Data Transformation {+ 29 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

June 19, 2026

Your privacy, your choice

IN_Associate-Data and Analytics Engineering _Digital Integration_Advisory_Kolkata

Skills

Company Location

Remote Work Policy

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