Job Description

Key Responsibilities / Functional Skills:

Azure Databricks, Python , Scala, PySpark, Azure Data Factory.

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, 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

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