IN-Senior Associate _GCP Data Engineer_Data and Analytics_ Advisory_Bangalore

PwC India

Bengaluru

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

PwC India is looking for a Data Engineer to develop robust data solutions that transform raw data into actionable insights. You will design scalable data pipelines on Google Cloud Platform (GCP) and collaborate with cross-functional teams to deliver data-driven solutions.

The ideal candidate has 4-7 years of experience in data engineering, with a strong background in GCP tools like BigQuery and DataProc. This position is vital for driving business growth through effective data processing and analysis.

Qualifications

4-7 years of experience in data engineering.
Experience in GCP, BigQuery, and DataProc necessary.
Strong analytical thinking and communication skills.

Responsibilities

Design and implement scalable data pipelines on GCP.
Collaborate with teams to deliver actionable data solutions.
Ensure data governance and compliance with policies.

Skills

GCP

BigQuery

DataProc

Education

B.Tech / M.Tech / MBA / MCA

Tools

Airflow

AWS

Apache Hadoop

Azure Data Factory

Job description

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.

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

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