Key Responsibilities / Functional Skills: Azure Databricks, Python, Scala, PySpark, Azure Data Factory.
Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.
Build and Maintain Data Pipelines from core banking and external sources
Implement Data quality improvements for monitoring, alerting and Invest
Data Secuirty and Complaince activities to be taken up
Collaborate with Innovation teams to operationalize models and rules

Must-Have:
~5+ years of Total Experience
~ Design and Implement Azure Data Factory, Manage Azure Data Lake storage (ADLS)

Hands on experience to build ETL Data Pipelines using Python, Scala and Pyspark, xhfqzwm Optimize data model

Good to have:
Hands-on experience in Azure services like Log Analytics, Azure Monitor, Storage services
Banking Domain knowledge
Power BU PL300
Kafka concepts