Position Details
About this role
This role involves designing and implementing cloud-native data solutions for risk analytics, focusing on data pipelines, governance, and modernization initiatives within a financial services environment.
Key Responsibilities
- Architect cloud data solutions
- Build data pipelines
- Implement data governance
- Migrate legacy systems
- Collaborate with risk analysts
Technical Overview
Technical scope includes AWS cloud services, Databricks, data pipeline development with Python and PySpark, data governance frameworks, and DevOps practices.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 5+ years of experience in cloud data management, proficient in AWS services, Databricks, and data pipeline development. They should have strong collaboration skills and experience with data governance and automation in a financial or enterprise environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of relevant experience, Lack of experience with AWS or Databricks, No background in data engineering or cloud platforms
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