Hybrid Data Platform Engineer – Snowflake & ETL

Ellenco Estágios e Treinamentos; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive benefits program including

Private healthcare and wellbeing

Flexible hybrid working

Family-friendly benefits

Pension contribution and insurance

International environment with strong

Job summary

Ellenco Estágios e Treinamentos is hiring a data engineer to manage and optimize Snowflake/SQL Server databases and to design robust data pipelines. You will build, monitor, and automate ETL/ELT processes, ensuring data quality and security while collaborating with business and technical teams.

The role requires hands-on experience with Azure Data Factory and modern data architectures, supporting a hybrid work model and cross-functional projects.

Qualifications

• Hands-on data pipeline/ETL experience using modern tools.
• Proven ability to design, build, and optimize data architectures.
• Knowledge of data governance and security principles.

Responsibilities

• Manage and optimize database platforms (Snowflake, SQL Server, cloud data services).
• Ensure system performance, availability, and reliability.
• Maintain backup, recovery, and disaster recovery processes.
• Monitor systems and proactively resolve issues.
• Build data pipelines using Azure Data Factory.
• Develop and optimize ETL/ELT processes for business systems.
• Troubleshoot data integrations and improve reliability.
• Collaborate with teams to deliver data solutions.

Skills

Database design

ETL/ELT

Analytical mindset

Cross-team collaboration

Automation and efficiency

Education

Bachelor's or higher in Data Science/CS/IS

Masters preferred

Tools

Azure Data Factory

Snowflake

SQL Server

Job description

Ellenco Estágios e Treinamentos is hiring a data engineer to manage and optimize Snowflake/SQL Server databases and to design robust data pipelines. You will build, monitor, and automate ETL/ELT processes, ensuring data quality and security while collaborating with business and technical teams.

The role requires hands-on experience with Azure Data Factory and modern data architectures, supporting a hybrid work model and cross-functional projects.