Role: Snowflake Data Engineer

Location: Argentina

Work Mode: Remote

Job Type: Fulltime Employment

Max Salary: Open for discusssion

Solution Design & Development:

- Design, develop and maintain scalable data solutions within Snowflake.
- Build and optimize enterprise-grade ELT/ETL pipelines supporting business-critical reporting and analytics requirements.
- Design and implement robust data models, including dimensional, analytical, and operational reporting structures.
- Develop and maintain reusable transformation frameworks using DBT.
- Develop Python-based data processing, automation, and integration solutions.
- Contribute to architecture decisions and technical design standards.
- Support platform modernization and migration initiatives from legacy technologies to cloud-based platforms.

Data Engineering & Optimization:

- Develop data ingestion and transformation processes from a wide variety of source systems.
- Optimize Snowflake databases, queries, and workloads to improve performance and cost efficiency.
- Ensure solutions are scalable, maintainable, and aligned with enterprise standards.
- Implement data quality controls and monitoring capabilities.
- Troubleshoot and resolve complex production and performance-related issues.

Stakeholder Engagement:

- Engage directly with business stakeholders to understand requirements and translate them into technical solutions.
- Facilitate workshops and requirements gathering sessions.
- Communicate effectively with both technical and non-technical audiences.
- Build strong working relationships across business and technology teams.
- Provide technical leadership and guidance throughout project delivery.

Governance & Best Practice:





- Champion best practices across data engineering, modelling, and software development.
- Contribute to technical documentation and knowledge-sharing initiatives.
- Support code reviews, testing, and release activities.
- Ensure compliance with governance, security, and regulatory standards.

Skills:

Technical Skills:

- Strong SQL Server experience, including database design, optimization, and troubleshooting.
- Extensive hands-on experience with Snowflake.
- Strong experience using DBT for transformation, modelling, and deployment of data solutions.
- Advanced Python development skills for data engineering and automation.
- Significant experience designing and implementing ETL/ELT solutions.

Strong understanding of:

- Data warehousing principles
- Star schema and dimensional modelling
- Data architecture and data governance
- Performance tuning and optimization
- Experience working with source control and CI/CD delivery practices.

Financial Services Experience:

- Proven experience within Banking or Financial Services organisations, preferably within the Credit or Market Risk arena.
- Strong understanding of enterprise data environments supporting risk, finance, treasury, regulatory or management reporting.
- Experience working within governance and control frameworks common to regulated financial institutions.

Stakeholder Management:

- Demonstrable experience engaging with business stakeholders, product owners and senior management.
- Strong requirements gathering and business analysis skills.
- Ability to translate complex business requirements into scalable technical solutions.
- Excellent verbal and written communication skills.

Education:

- Degree educated.
- Professional certification in Snowflake highly preferred.

📌 Snowflake Data Engineer (Argentina)
🏢 E-Solutions
📍 Argentina