Tech Stack

Description

You will architect and maintain data pipelines and a central data lake, collaborate with cross-functional teams to solve data challenges, and implement best practices in data governance and security to power AI-driven financial analysis.

Requirements

• Bachelor's or Master's in CS, Data Science, or related field
• 5+ years software development experience at startup or top tech firm
• Hands-on experience in ETL, data warehousing, data lake management
• Proficient in Python and SQL; familiar with cloud-based data stack
• Experience with big data frameworks and data integration tools

Responsibilities

• Architect, build, and maintain ETL pipelines and workflows
• Design and manage a central data lake for analytics and reporting
• Collaborate with stakeholders to identify data gaps and develop solutions
• Implement best practices in data security and governance
• Monitor and improve data pipelines for performance and cost-efficiency