Senior Data Analytics Engineer - AI/ML
New
Remote-First Global Work CommunityFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLMicrosoft Power BISnowflakedbt
Requirements
- 5+ years of experience in data engineering roles
- Ninja-level proficiency in SQL (specifically CTE optimization)
- Ninja-level proficiency in Python (complex scripting and ML/AI)
- Expertise in architecting data pipelines and ETL processes
- Experience with Fivetran
- Experience with Snowflake
- Experience with DBT
- Proven ability to apply business intuition and analytical skills
- Experience building visual data analytic business-driven solutions
- Experience with PowerBI
- Experience with Sigma
- Masters degree in engineering or analytics
Responsibilities
- Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack.
- Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models for self-service.
- Maintain comprehensive documentation of all data engineering processes.
- Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows.
- Optimize data pipelines and troubleshoot issues proactively using SQL/Python.
- Implement frameworks that ensure data reliability across the organization.
- Collaborate with cross-functional product, engineering teams, and customers to translate business goals into technical requirements.
- Create models that specifically enhance Analytics and AI/ML projects.
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