Position Details
About this role
This role involves leading data engineering initiatives focused on building scalable data pipelines, ensuring data quality, and integrating emerging AI technologies within a financial services environment.
Key Responsibilities
- Design and develop data pipelines
- Ensure data quality and governance
- Lead data projects
- Implement GenAI solutions
- Collaborate with data science teams
Technical Overview
The technical environment includes Python, Spark, SQL, Snowflake, Databricks, and cloud data platforms, with a focus on data modeling, governance, and AI integration.
Ideal Candidate
The ideal candidate is a senior data engineer with expertise in Python, Spark, and cloud data platforms like Snowflake and Databricks. They should have experience leading data projects, implementing data governance, and working with GenAI technologies.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 4 years of experience in data engineering, No experience with Snowflake or Databricks, Lack of leadership experience, No Bachelor's degree
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