PwC's data and analytics engineering team leverages advanced technologies to design and develop robust data solutions for clients, transforming raw data into actionable insights to enable informed decision-making and drive business growth.
Requirements
- Having extensive experience with RDBMS (SQLServer, Azure SQL, PostgreSQL), NoSQL (MongoDB) and/or other database technologies (Couchbase, Neo4j)
- Analyzing and building data models and transformation routines
- Recognizing patterns in data relationships across systems
- Developing and documenting ETL and data integration processes
- Creating scalable data integration solutions using iPaaS tools
- Addressing performance and data quality issues
- Conceptualizing Azure infrastructure and design architecture
Responsibilities
- designing and building data infrastructure and systems to enable efficient data processing and analysis
- developing and implementing data pipelines, data integration, and data transformation solutions
- design and implement innovative data solutions that drive business insights
- analyze complex problems
- build meaningful client relationships while navigating the intricacies of data architecture and management
- Analyzing and building data models and transformation routines
- Developing and documenting ETL and data integration processes
Other
- Mentor and guide junior team members in their development
- Navigate the complexities of data architecture and management
- Up to 40% travel requirements
- Bachelor's Degree
- At least 3 years of experience
