Description

You will engineer and maintain data solutions within a financial context.

Responsibilities

• Develop and implement ETL pipelines adhering to medallion architecture standards.
• Deliver end-to-end data warehouse and Data Platform deployments, covering design through implementation.
• Perform data mapping and data profiling to ensure data integrity.
• Process and analyze banking-specific data using scripting and querying.

Required Skills

• 10+ years of experience as a Data Engineer or in a related capacity.
• Deep domain knowledge working with banking data.
• Proficiency in Python and SQL for data processing.
• Extensive experience with Microsoft Azure cloud services (storage, compute, security).
• Hands-on experience with Data Bricks for big data processing.
• Proficiency in Java or Scala for data pipeline development.
• Expertise in developing and implementing ETL Pipelines.
• Strong knowledge of data modeling and database design principles.

Key Skills

Education

Any Graduate