In_manager_data Analyst_data And Analytics_advisory_bangalore
Virtualspaces Stage Pwc
Databricks on azure or gcp bigquery
Python programming
Devops and ci/cd practices
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities
Job Summary
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.
As the Staff Data Platform Engineer in the Cyber Data Platform team, you will lead architectural decisions, guide technical direction, and mentor the engineering team to deliver high quality data services.
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, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.
Skills & Requirements
Must-have
Databricks on Azure or GCP BigQuery
Python programming
DevOps and CI/CD practices
Data architecture for realtime and batch processing
Technical leadership and mentorship
ETL and ELT frameworks
Data security and compliance
Nice-to-have
Gen AI expertise
Automation and containerisation technologies
Embracing change and continuous improvement
Coaching and feedback skills
Analytical thinking
Communication skills
Business intelligence and reporting
Key Requirements
6-9 years of experience
Bachelor or Master of Engineering or MCA degree
Proven experience leading technical teams
Knowledge of cybersecurity principles
Experience with Kafka, Flink, Airflow, dbt, Docker, Kubernetes