In-senior Associate_databricks_data & Analytics_advisory_pan India
Dc404
Azure databricks
Apache spark framework
Azure data factory
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
Cloud-based data warehousing
Data pipeline development
Azure Synapse and Azure SQL
Agile delivery methodology
Nice-to-have
Python programming
DevOps processes including CI/CD
Data warehouse modeling principles
Team collaboration and adaptability
Data security model development
Databricks & Azure Big Data Architecture Certification
Key Requirements
3 - 8 years experience
BE, B.Tech, MCA, M.Tech degrees
Expert level understanding of Azure services
Experience with Azure Data Factory and Apache Spark
Knowledge of DevOps and Infrastructure as Code
Data engineering experience
Preferred Databricks & Azure Big Data Architecture Certification