In_manager_cloud Data Architect _data & Analytics_advisory_mumbai
PwC
Mumbai, India
Pyspark, sparksql, databricks on azure
Azure data lake storage gen 2
Azure data factory, azure event hub, synapse
Design and implement scalable big data architectures and solutions utilizing PySpark, SparkSQL, and Databricks on Azure or AWS
Job Summary
Design and implement scalable big data architectures and solutions utilizing PySpark, SparkSQL, and Databricks on Azure or AWS.
Establish and enforce data governance principles ensuring data security and compliance with industry standards and regulations.
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
Design and implement scalable big data architectures and solutions utilizing PySpark, SparkSQL, and Databricks on Azure or AWS.
Skills & Requirements
Must-have
PySpark, SparkSQL, Databricks on Azure
Azure Data Lake Storage Gen 2
Azure Data Factory, Azure Event Hub, Synapse
Data modeling, metadata frameworks
DevSecOps practices with Git
Data quality, data security, data governance
Nice-to-have
Industry experience in banking, insurance, pharma
Excellent communication skills
Familiarity with machine learning frameworks
Leverage industry knowledge for tailor-made solutions
Key Requirements
8 – 12 years of experience
Btech/MBA/MCA degree
Azure, Databricks or related Cloud technologies certification