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 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. "
Job Description & Summary:
A career within….
A career within Data and Analytics services will provide you with the opportunity to help
organisations
uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of
organisational
technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their
organisations
in order to
keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities:
Design and implement scalable, efficient, and secure data pipelines on GCP, utilizing tools such as
BigQuery
, Dataflow,
Dataproc
, Pub/Sub, and Cloud Storage.
Collaborate with cross-functional teams (data scientists, analysts, and software engineers) to understand business requirements and deliver actionable data solutions.
Develop and maintain ETL/ELT processes to ingest, transform, and load data from various sources into GCP-based data warehouses.
Build and manage data lakes and data marts on GCP to support analytics and business intelligence initiatives.
Implement automated data quality checks, monitoring, and alerting systems to ensure data integrity.
Optimize
and tune performance for large-scale data processing jobs in
BigQuery
, Dataflow, and other GCP tools.
Create and maintain data pipelines to collect, clean, and transform data for analytics and machine learning purposes.
Ensure data governance and compliance with organizational policies, including data security, privacy, and access controls.
Stay up to date with new GCP services and features and make recommendations for improvements and new implementations.
Mandatory skill sets:
GCP, Big
query ,
Data Proc
Preferred skill sets:
GCP, Big
query ,
Data Proc, Airflow
Years of experience required:
3
-
7
Education qualification:
B.Tech
/
M.Tech
/ MBA / MCA
Education
(if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering
Degrees/Field of Study preferred:
Certifications
(if blank, certifications not specified)
Required Skills
PySpark
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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
March 27, 2026
