16 days ago
Pune, IndiaEntry Level
Responsibilities
- Design and build data infrastructure and systems that support efficient data processing and analysis.
- Develop and implement data pipelines, data integration, and data transformation solutions.
- Interpret data to inform insights and recommendations.
- Understand project objectives, business context, and how technical work supports overall strategy.
- Build meaningful client relationships and anticipate the needs of teams and clients.
- Uphold professional and technical standards, the firm's code of conduct, and independence requirements.
Requirements
- Experience or knowledge in data engineering, data infrastructure, data integration, data pipelines, data architecture, and data modeling.
- Familiarity with Amazon Web Services, Apache Airflow, Apache Hadoop, Azure Data Factory, and Databricks Unified Data Analytics Platform.
- Knowledge of database management systems, database administration, database optimization, and database security best practices.
- Ability to use critical thinking, analytical thinking, communication, creativity, and a broad range of tools and techniques to solve problems.
- Ability to accept feedback, actively listen, work with diverse perspectives, and operate effectively in ambiguous situations.
Tech Stack
Categories
Data Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.