Role overview

Qualifications

4+ years of experience in Data Engineering or Analytics Engineering, with hands-on Snowflake production experience.
Strong analytics-focused data modeling experience, including Snowflake structuring, aggregation strategies, and performance optimization.
Experience building and maintaining data pipelines in cloud environments (preferably AWS) and delivering reliable, scalable data solutions.
Excellent communication and collaboration skills, with ability to translate analytical requirements into business value and bridge engineering and analytics teams.

Responsibilities

Snowflake Data Modeling: Design and structure data models optimized for Snowflake; implement efficient aggregation strategies; optimize models based on performance and engine behavior.
Data Engineering: Work on existing pipelines ensuring quality and reliability; collaborate with the team to deliver scalable solutions; ensure data consistency and availability for analytics.
Analytics and Business Context: Understand how data is used across the business; translate analytical requirements into effective data models; act as a bridge between engineering and analytics teams.
Collaboration and AWS Alignment: Collaborate with infrastructure-focused teams (AWS) and align technical solutions with analytical needs.

Key facts

Remote from: Anywhere
Full time
Senior (5-10 years)
Data Engineer
English

Hard skills

Data Engineering Snowflake (Data Warehouse) Data Modeling Data Architecture Data Modeling AWS Cloud Services Data Quality Aggregation Analysis Data Modeling Data Availability Infrastructure Management Data Consistency Query Optimization Data Architecture Data Infrastructure Business Communication Business Operations

Other skills

Decision Making
Teamwork
Analytical Thinking

About the company

Talent Hub By LS

Staffing & Recruiting

Talent Hub es una empresa líder en sourcing, reclutamiento y formación con sede en Medellín, Colombia. Nos enorgullecemos de ofrecer soluciones innovadoras que transforman la manera en que las empresas encuentran y contratan talento en todo el mundo. Nuestro modelo de negocio está centrado en la efectividad, nos comprometemos a proporcionar a nuestros clientes una contratación 100% exitosa. Ya sea que estén buscando talento local o internacional. Creemos en el poder de construir relaciones sólidas y duraderas basadas en la confianza, la transparencia y los resultados tangibles. 💼 Nuestros servicios:Sourcing y recruiting personalizado.Formación en reclutamiento IT y desarrollo profesional.Consultoría en estrategias de contratación.Lobby: Tenemos un modelo de softlanding boutiqueTalent Hub es la unión de personas apasionadas, lideradas por nuestra CEO Laura Suaréz, miembro de diferentes actores del sector del empresarial con foco en el ecosistema de desarrollo, emprendimiento e innovación. Como miembros de la Asociación Internacional de Startups, de la comunidad Jaguars founders startups latam y partner de Startupyer estamos bien conectados y posicionados para encontrar y unir el mejor talento de América Latina con oportunidades en todo el mundo.¡Contáctanos si necesitas qué encontremos tu equipo ideal!🔗 Más información:Sitio web: www.talenthub.com.coLinkedIn:https://www.linkedin.com/company/talent-hub-by-ls/Correo electrónico: Laura.suarez@talenthub.com.coTeléfono: +57 3015193206#Sourcing #hiring #recruiting #recruiter #sourcer #recruitingservices #findinftalents #hiringsolutions #talentacquisition #eduployment #ITtalentacquisition #education #busqueda #contratacion #reclutamiento #serviciodereclutamiento #busquedadetalento #reclutamientoIT #Educacion #formacionparareclutamiento #Latam

Company details

Company typeStartup

IndustryStaffing & Recruiting

Company size2 - 10

Links

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Job description

Type: Senior
Languages: English B2-C1 required
Work Model: Remote

Job Description

We are looking for a Data Engineer with a strong focus on analytics and data modeling to join a team that is already well-established in AWS infrastructure and data pipelines.

This role is primarily focused on working in Snowflake, designing data models optimized for analytics and decision-making. The ideal candidate combines data engineering skills with an analytics engineer mindset, understanding both how to build reliable pipelines and how data is used in business contexts.

Responsibilities

Snowflake Data Modeling

Design and structure data models optimized for Snowflake.
Implement efficient aggregation strategies.
Optimize models based on performance and engine behavior.

Data Engineering

Work on existing pipelines ensuring quality and reliability.
Collaborate with the team to deliver scalable solutions.
Ensure data consistency and availability for analytics.

Analytics and Business Context

Understand how data is used across the business.
Translate analytical requirements into effective data models.
Act as a bridge between engineering and analytics teams.

Collaboration

Work alongside infrastructure-focused teams (AWS).
Align technical solutions with analytical needs.

Technical Requirements

Experience

4+ years of experience in Data Engineering or Analytics Engineering.
Hands-on experience working with Snowflake in production environments.

Data and Modeling

Strong experience in analytics-focused data modeling.
Knowledge of:
- Structuring models in Snowflake
- Aggregation strategies
- Query and model performance optimization

Engineering

Experience working with data pipelines.
Familiarity with cloud environments (preferably AWS).
Ability to build reliable and scalable data solutions.

Professional Skills

Strong analytical thinking and business orientation.
Ability to translate data into business value.
Effective communication with technical and non-technical stakeholders.
Hybrid mindset between engineering and analytics.

Key Differentiators

Experience as an Analytics Engineer.
Strong understanding of how data is used in business contexts.
Ability to balance technical performance with analytical needs.

Languages
English B2-C1 required