IN_Senior Associate_ Data Engineering_GCC_Advisory _Mumbai

Price Waterhouse Cooper LLP

Goregaon

On-site

INR 1,800,000 - 4,000,000

Full time

2 hours ago

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Job summary

PwC in Mumbai is seeking an experienced Data Engineering Senior Associate to lead data engineering engagements. You will design and implement scalable data pipelines using Spark, PySpark, and Python, guiding a team of engineers and collaborating with cross-functional stakeholders.

The ideal candidate has 5-8 years of hands-on data engineering experience, strong cloud platform familiarity (Databricks, Azure, AWS), and a Bachelor of Engineering.

Qualifications

5-8 years of data engineering experience.
Strong hands-on Spark, PySpark, and Python.
Experience with cloud platforms like Databricks, Azure, or AWS.
Bachelor of Engineering degree.
Experience leading teams and mentoring juniors.

Responsibilities

Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
Lead and manage a team of data engineers, providing technical guidance and mentorship.
Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
Ensure data quality, integrity, and security across projects.
Implement best practices for data engineering, including reviews, testing, and documentation.
Stay updated with industry trends in data engineering and cloud computing.
Translate business needs into technical requirements and manage timelines.

Skills

Spark

PySpark

Python

Data pipelines

Data architecture

Leadership

ETL

Communication

Education

Bachelor of Engineering

Tools

Databricks

Azure Data Services

AWS

Docker

Kubernetes

BigQuery

Redshift

EMR

Job description

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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision‑making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*WhyPWC

AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other.

Learn more

about us

AtPwC, 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 Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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:

Position: Data Engineering / Senior Associate

Experience: 5- 8 Years

Location: Mumbai

Type: Full Time

Certifications: Spark 3.0(Mandatory) and/or Databricks Advanced/Professional Architect.

About the Role

We are seeking an experienced and Senior Associate with 5-8 years of experience specializing in data services, data architecture, and data platforms to lead our Data engineering engagements. The ideal candidate will have a strong hands‑on background in data engineering with specific expertise in Spark, PySpark, and Python. Additionally, experience with cloud‑native data engineering platforms like Databricks, Azure Data Engineering or Amazon Web Services (AWS) is highly desirable.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management.
Collaborate with cross‑functional teams to understand data requirements and deliver high‑quality data solutions.
Ensure data quality, integrity, and security across all data engineering projects.
Implement best practices for data engineering, including code reviews, testing, and documentation.
Stay up‑to‑date with the latest industry trends and technologies in data engineering and cloud computing.
Work closely with stakeholders to understand business needs and translate them into technical requirements.
Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.

Required Skills

Proven track record of designing and building scalable data pipelines and architectures.
Hands‑on experience with data processing and transformation.
Strong understanding of data warehousing concepts and ETL processes.
Excellent problem‑solving skills and the ability to troubleshoot complex technical issues.
Strong leadership and team management skills.
Effective communication skills, both written and verbal .

Preferred Qualifications

Experience with cloud‑native data engineering on platforms such as Databricks and Azure/AWS.
Familiarity with cloud services related to data storage, processing, and analytics (e.g. BigQuery, Redshift, S3, EMR).
Knowledge of containerization and orchestration technologies (e.g. Docker, Kubernetes).
Experience with data visualization tools and techniques.
Familiarity with machine learning and data science concepts.

Mandatory skill sets