In_specialist 2_power Bi_data & Analytics_advisory_pan India
PwC Belgium Tax News
Azure data factory
Apache spark
Databricks
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.
We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.
We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth.
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 Data Factory
Apache Spark
Databricks
Azure Data Lake
Data Warehousing concepts
Nice-to-have
Python
DevOps processes
Infrastructure as code
Azure Big Data Architecture Certification
Key Requirements
3 - 8 Years experience
BE, B.Tech, MCA, M.Tech
Proven experience working as a data engineer
Highly proficient in using the spark framework
Extensive knowledge of Data Warehousing concepts
Direct experience building data pipelines using Azure Data Factory and Apache Spark
Hands on experience designing and delivering solutions using Azure
Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service