In-senior Associate_databricks_data & Analytics_advisory_pan India
Virtualspaces Stage Pwc
Azure databricks
Apache spark framework
Azure data factory pipelines
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients
Job Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.
Matching Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
Skills & Requirements
Must-have
Azure Databricks
Apache Spark framework
Azure Data Factory pipelines
Cloud-based data warehousing
Data pipeline design and implementation
Agile delivery and DevOps methodology
Nice-to-have
Python programming
Team collaboration and adaptability
Data warehouse modeling principles
Security model development
Databricks & Azure Big Data Architecture Certification
Customer engagement and requirements analysis
Key Requirements
3 - 8 years experience
BE, B.Tech, MCA, M.Tech degrees
Expert level understanding of Azure Data Factory and Synapse
Experience with Azure Storage and SQL Data Warehouse