Fabric Pyspark SQL - Manager

PwC Acceleration Center India; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PwC Acceleration Center India is seeking a Data Engineering Manager to lead the design and delivery of data pipelines and analytics initiatives. You will drive data infrastructure projects, mentor teams, and ensure client requirements are met with high quality across geographies.

You will collaborate with advisory, assurance, tax, and business services teams, employing PySpark, SQL, and cloud platforms to transform data into actionable insights and measurable business impact.

Qualifications

• Bachelor's degree in a related field.
• 8+ years of data engineering experience.
• Proficient in English, both written and spoken.

Responsibilities

• Design and implement data pipelines and integration solutions.
• Lead data engineering teams and manage client accounts.
• Mentor junior staff and drive delivery quality.
• Collaborate with stakeholders to optimize data usage.

Skills

Data engineering

Team leadership

Client management

Mentoring

Education

Bachelor's degree

Tools

Apache Hadoop

Azure Data Factory

Snowflake

Databricks

AWS

Azure

Job description

Job Description

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands‑on learning, cutting‑edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Fabric+Pyspark+SQL Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth. Within our Data and Analytics Engineering practice, 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.

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

In this role at PwC Acceleration Center India, you will have the opportunity to work with a diverse team, fostering a culture of continuous improvement and innovation.

Responsibilities

• Designing and implementing data pipelines and integration solutions to support efficient data processing and analysis
• Developing and maintaining data infrastructure using platforms such as Apache Hadoop and Azure Data Factory
• Utilizing advanced data engineering techniques to transform raw data into actionable insights for informed decision‑making
• Leading teams in the strategic planning and execution of data-driven initiatives to drive business growth
• Coaching team members to leverage their unique strengths and manage performance to meet client expectations
• Collaborating with stakeholders to identify opportunities for optimizing data utilization and improving business outcomes
• Applying technical proficiency in cloud‑based analytics platforms like Snowflake and Databricks to enhance data solutions
• Validating data integrity and security within analytics frameworks to uphold professional standards
• Encouraging innovation and embracing technology to enhance delivery and inspire team development

What You Must Have

• At least a Bachelor's degree
• At least 8+ years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating proficiency in data engineering platforms and tools
• Utilizing cloud platforms like AWS and Azure for data solutions
• Excelling in data modeling and data pipeline development
• Leveraging AI-human collaboration to enhance data analytics
• Embracing agile methodologies for scalable data projects
• Mentoring teams in data strategy and transformation initiatives