Position Details
About this role
This role involves designing and developing cloud-based data lakes, building data pipelines, and ensuring secure, high-performance data infrastructure within a financial services environment.
Key Responsibilities
- Design cloud data lakes
- Build data pipelines
- Develop data models
- Implement security measures
- Collaborate with business teams
Technical Overview
The technical environment includes cloud platforms like AWS and Azure, Databricks, SQL, Python, Scala, and security protocols such as IAM and encryption. The focus is on scalable data architecture and pipeline optimization.
Ideal Candidate
The ideal candidate is a senior data engineer with extensive experience in cloud data lakes, ETL pipelines, and data modeling, preferably with Databricks and cloud security expertise. They should have a strong background in SQL, Python, and Scala, with a focus on performance and security.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of cloud data lake or ETL experience, No Databricks or cloud security experience, Insufficient data modeling skills
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