Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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 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. "

& Summary:

We are seeking an experienced Senior Data Engineer to join our team on a full-time basis. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines for both batch and real-time data processing. The ideal candidate will have strong technical expertise, a passion for data engineering, and the ability to collaborate effectively in a hybrid work environment.

Responsibilities

• Design, build, and optimize scalable data pipelines for batch and real-time data processing.

• Develop and maintain high-performance ETL processes using tools like Ab Initio and PySpark

• Write, troubleshoot, and optimize code using Python, SQL, and Unix Shell Scripting

• Leverage Google Cloud Platform (GCP) tools such as Composer, BigQuery, Cloud Storage, Dataflow, Dataplex, and Dataproc to enhance data processing capabilities.

• Collaborate with cross-functional teams to deliver high-quality data solutions.

• Ensure data quality, reliability, and efficiency in all processes.

• Be part of a dynamic and forward-thinking team focused on cutting-edge data technologies.

• Opportunity to work on impactful projects with global exposure.

• A collaborative, inclusive, and growth-oriented workplace culture.

• Competitive compensation and benefits.

Mandatory skill sets:

• Python, SQL, Ab Initio (ETL Tool), Unix Shell Scripting, PySpark.

• Google Cloud Platform (Composer, BigQuery, Cloud Storage, Dataflow, Dataplex, Dataproc).

Preferred skill sets:

This role is sector-agnostic, and candidates with diverse industry experiences are encouraged to apply.

Years of experience required:

6 to 9 years of experience in data engineering or related fields.

Education qualification:

Bachelor's degree in Engineering (BE/BTech) or equivalent.

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

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

Certifications (if blank, certifications not specified)

Required Skills

PySpark

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, 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, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 15, 2026