IN_Senior Associate_Junior Data Engineer_GCC_Advisory_Noida

PwC; Dadri; On-site; INR 700,000 - 1,000,000; Full time

Job summary

PwC is hiring a Senior Associate in Data, Analytics & AI, focusing on building and optimizing data pipelines, data modeling, and reporting solutions. The role involves collaborating with senior engineers to design scalable architectures in Databricks and cloud environments.

You will work on extracting insights from large datasets, crafting robust ETL processes, and contributing to data-driven decision-making for clients while adhering to PwC’s standards and governance.

Qualifications

• Years of experience required: 1-4 years
• Education qualification: BE/B.Tech/MBA/MCA
• Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Responsibilities

• Develop and maintain data pipelines using Python and PySpark to extract, transform, and load data into cloud data warehouses
• Write and optimize complex SQL queries to support data analysis and BI needs
• Collaborate with senior data engineers to design scalable data architectures using Databricks for big data processing
• Monitor and troubleshoot data pipeline performance, ensuring data quality and reliability across cloud environments
• Assist in building automated ETL processes integrating data from APIs, databases, and file systems
• Support data modeling by creating dimensional models and data marts for analytical reporting
• Participate in code reviews and follow best practices for version control, testing, and documentation

Skills

SQL

Python

Pyspark

Databricks

Cloud

Education

BE/B.Tech/MBA/MCA

Bachelor of Engineering, Master of Engineering

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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

• Develop and maintain data pipelines using Python and PySpark to extract, transform, and load data from various sources into cloud-based data warehouses
• Write and optimize complex SQL queries to support data analysis requirements and ensure efficient data retrieval for business intelligence applications
• Collaborate with senior data engineers to design and implement scalable data architecture solutions using Databricks platform for big data processing
• Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes to ensure data quality and reliability across cloud environments
• Assist in building automated ETL processes that integrate data from multiple sources including APIs, databases, and file systems
• Support data modeling activities by creating and maintaining dimensional models and data marts to facilitate analytical reporting
• Participate in code reviews and follow best practices for version control, testing, and documentation of data engineering solutions
• Contribute to cloud infrastructure management tasks including resource optimization and cost monitoring for data processing workloads

Mandatory skill sets

• SQL
• Python
• Pyspark
• Databricks
• Cloud

Preferred skill sets

• SQL
• Python
• Pyspark
• Databricks
• Cloud

Years of experience required: 1-4 years

Education qualification: BE/B.Tech/MBA/MCA

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 more}

Travel Requirements Not Specified

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date September 18, 2026