PwC
Assurance - Financial Market – Data Engineer – Associate
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Industry/Sector
Not Applicable
Specialism
Assurance
Management Level
Associate
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 Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance 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.
Show full description
As an Associate, you will be driven by curiosity and contribute to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. You will be expected to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.
In this role at PwC Acceleration Center India, you will adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering quality work that drives value for our clients and success as a team.
Responsibilities
- Designing and implementing data pipelines to facilitate efficient data processing and analysis
- Developing data integration and transformation solutions using platforms like Apache Airflow and Azure Data Factory
- Building scalable data infrastructure to support complex data engineering tasks
- Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for cloud-based data solutions
- Applying data architecture development techniques to enhance data quality and validation processes
- Optimizing database performance through query optimization and database management systems
- Collaborating with team members to address data challenges and drive business growth
- Engaging in active listening and accepting feedback to improve personal and team performance
- Adopting agile scalability practices to adapt to changing client needs and project scopes
- Upholding professional standards and the Firm's code of conduct in all data engineering activities
What You Must Have
- At least a Bachelor's degree
- 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
- Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks
- Developing data pipelines and data integration solutions
- Implementing data warehouse indexing and troubleshooting
- Excelling in data architecture development and optimization
- Applying agile scalability in data engineering projects
- Demonstrating intellectual curiosity and adaptability in fast-paced environments
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- SeniorityEntry level
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.