Position Details
About this role
This role involves leading data engineering initiatives focused on modern data architectures, including data lakes, data warehouses, and streaming systems, within an insurance company's data ecosystem.
Key Responsibilities
- Lead data engineering projects
- Implement scalable data pipelines
- Modernize legacy data systems
- Collaborate with cross-functional teams
- Establish best practices in data architecture
Technical Overview
The technical environment includes Spark, Snowflake, Python, SQL, Data Warehousing, Data Mesh, Lakehouse, and DevOps tools, emphasizing scalable data pipeline development and architecture modernization.
Ideal Candidate
The ideal candidate is a senior or lead data engineer with expertise in Spark, Snowflake, Python, and data warehousing. They should have experience leading data engineering projects and working with modern data architectures like Lakehouse and Data Mesh.
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 experience with Spark or Snowflake, No leadership or project management experience, Unwillingness to work in a hybrid environment
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