Salary :
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Snowflake Developer based in Brazil.
This is a remote opportunity for a data professional focused on building scalable, reliable, and high-performing cloud data solutions.
You will work extensively with Snowflake, SQL, and modern ETL/ELT practices to transform data into valuable business insights.
The role combines hands-on development with data architecture, pipeline engineering, performance optimization, and data governance.
You will collaborate with engineers, analysts, and business stakeholders to understand requirements and deliver effective data solutions.
Strong problem-solving skills and the ability to write performant SQL are essential to succeeding in this position.
The environment values Agile development, automation, continuous improvement, and clear communication.
Experience with cloud platforms, DevOps, BI tools, or Snowflake certification can further strengthen your profile.
Accountabilities
- Design, develop, and maintain scalable data pipelines using Snowflake, SQL, and ETL/ELT technologies.
- Develop, optimize, and maintain complex SQL queries and scripts for data extraction, transformation, analysis, and business insights.
- Create and manage Snowflake objects, including databases, schemas, tables, views, and stored procedures.
- Integrate Snowflake with multiple data sources, cloud environments, and third-party tools.
- Monitor Snowflake environments and investigate and resolve performance, reliability, and data-processing issues.
- Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into effective data solutions.
- Ensure data quality, security, governance, and access-control standards are consistently applied.
- Automate data workflows and contribute to best practices for efficient, scalable, and maintainable data management.
- Participate in Agile-based development processes and contribute to continuous improvement across the data engineering lifecycle.
- Use performant SQL and data solutions to generate actionable business insights and support better organizational decision-making.
Requirements
- 5–15 years of professional experience in data development, data engineering, data warehousing, or a closely related field is preferred.
- Strong proficiency in Snowflake SQL and Snowflake architecture.
- Hands-on experience designing and developing data pipelines using Snowflake and ETL/ELT processes.
- Experience with ETL/ELT tools such as Informatica, Talend, dbt, or Matillion.
- Strong understanding of data warehousing and data modeling concepts.
- Experience working with at least one major cloud platform, such as AWS, Azure, or GCP.
- Ability to write efficient, high-performance SQL queries and scripts for data transformation and business analysis.
- Understanding of Snowflake security concepts, including role-based access control and data sharing.
- Strong troubleshooting and problem-solving abilities, with a structured approach to identifying and resolving technical issues.
- Excellent written and verbal communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
- Experience working in Agile development environments.
- Familiarity with Python, Java, or Shell scripting is an advantage.
- Knowledge of CI/CD pipelines and DevOps practices is a plus.
- Familiarity with BI platforms such as Tableau, Power BI, or Looker is desirable.
- Snowflake certification, such as SnowPro Core, is considered an advantage.
Benefits
- $20–$25 per hour, according to the original job posting.
- Fully remote position based in Brazil.
- Opportunity to work extensively with Snowflake and modern cloud data technologies.
- Exposure to data warehousing, ETL/ELT, cloud architecture, data governance, and business intelligence.
- Opportunity to collaborate with data engineers, analysts, and business stakeholders.
- Agile and collaborative working environment.
- Opportunity to contribute to scalable data solutions and data-driven business decision-making.
- Professional growth through exposure to modern data engineering practices and technologies.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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