BE Data Engineer
Core
Design and implement modern data ecosystems, pipelines, lakes, and warehouses to serve as the backbone for clients' AI and analytics goals.
Role type
Senior Data Engineer (Data Architecture & Pipelines)
Builds
Scalable data pipelines, data lakes, and warehouses for AI and analytics platforms
Domain
Data Engineering, Cloud Data Platforms, AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, Snowflake, dbt, Cloud platforms (Azure, AWS, Databricks), Docker, Terraform, Git
Preferred skills
Project management, mentoring, client advisory
Technologies
Snowflake, dbt, Salesforce Data360, Tableau, Azure, Databricks, AWS, Docker, Terraform
Responsibilities
Design and implement robust, scalable data systems; unify fragmented data sources into centralized platforms; map business goals to technical components; experiment with latest tools to advise clients; collaborate on long-term data roadmaps
Seniority
Mid-Senior, hands-on IC with client-facing advisory
