Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
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 Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to facilitate 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 scalable data infrastructure and systems to support efficient data processing and analysis
- Developing and managing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
- Utilizing platforms such as Apache Hadoop, Apache Airflow, and Azure Data Factory to optimize data workflows and processes
- Leading teams in the strategic planning and execution of data engineering projects, confirming timely delivery and quality outcomes
- Mentoring and coaching team members to enhance their skills and performance in data engineering tasks
- Collaborating with client stakeholders to identify data challenges and propose innovative solutions
- Overseeing the deployment and maintenance of data warehouses, confirming data integrity and security
- Promoting the adoption of advanced technologies and methodologies to drive continuous improvement in data engineering practices
- Analyzing system components to identify linkages and interactions, facilitating comprehensive data solutions
- Encouraging team development by fostering an environment of learning and skill enhancement
What You Must Have
- At least a Bachelor's degree
- At least 4 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 like Databricks and Snowflake
- Utilizing advanced skills in Apache Hadoop and Apache Airflow
- Excelling in data architecture development and data integration strategies
- Leveraging experience with cloud platforms such as AWS and Azure
- Leading teams in agile scalability and rapid experimentation
- Embracing change and fostering innovation in data solutions
Travel Requirements
Job Posting End Date