Resilient Co.
11 - 50 employees
Founded 2020
🤝 B2B
👥 HR Tech
☁️ SaaS
B2B • HR Tech • SaaS
Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.
AWS Data Engineer
Job not on LinkedIn
🔥 13 hours ago
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Resilient Co.
11 - 50 employees
Founded 2020
🤝 B2B
👥 HR Tech
☁️ SaaS
B2B • HR Tech • SaaS
Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.
📋 Description
• Design AWS data engineering components including Lambda, S3, and database integrations. • Build and operate data pipelines that integrate AWS systems with Snowflake. • Implement Snowflake features including Snowflake AI components (Cortex, Cortex Code, AI functions). • Own design and implementation of data marts, data warehouses, and data lakes. • Develop data models and define process flows for end-to-end data integration. • Produce initial architecture drafts independently for review by the architecture team. • Collaborate with architects and stakeholders to refine designs and ensure alignment with project goals. • Focus on senior-level delivery of data engineering solutions and handoff to operational teams.
🎯 Requirements
• 6-9 years of hands-on experience in data engineering. • Hands-on experience with AWS Lambda. • Hands-on experience with AWS S3. • Hands-on experience with databases and related AWS services. • Hands-on experience with Snowflake, including Snowflake AI components (Cortex, Cortex Code, AI functions). • Strong fundamentals in data marts, data warehouses, data lake design, data modeling, and process flow. • Proven ability to produce initial architecture drafts independently for architectural review. • Profile scope: senior-level data engineering experience (not application/app development).
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