In-senior Manager_azure Data Engineer_data & Analytics_advisory_pan India
Virtualspaces Pwc
Azure data factory development
Apache spark framework proficiency
Cloud-based data warehousing
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.
You will provide technical leadership and thought leadership as a senior member of the Analytics Practice and collaborate with customers to translate business requirements into technical solutions.
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 development
Apache Spark framework proficiency
Cloud-based data warehousing
Data pipeline design and implementation
Azure Synapse and Azure SQL expertise
Agile delivery and DevOps methodology
Data integration and transformation
Nice-to-have
Python programming knowledge
Strong communication skills
Coaching and feedback abilities
Creative problem solving
Experience with API and streaming ingestion
Knowledge of DevOps CI/CD processes
Data security model development
Key Requirements
10 - 20 years experience
BE, B.Tech, MCA, M.Tech degrees
Databricks & Azure Big Data Architecture Certification preferred
Expert level understanding of Azure Data Factory and Azure Synapse