Senior Data Engineer - Snowflake (LATAM Only)

Aubrant Digital is seeking highly skilled and collaborative Senior Data Engineers to join a cross-functional scrum team and focus on on data engineering execution while migrating pipelines from Informatica to Azure Data Factory (ADF) on a Snowflake-centric stack. This is a hands-on contributor role accountable for taking stories from intake through to Production.

Must-Have Requirements

• Hands-on contributor with a proven track record of taking stories from start to Production.

• Demonstrated ability to work independently as a “doer,” jumping into complex tasks and driving them to completion with minimal guidance.

• Strong, hands-on experience with Snowflake, including:
• • Query writing
  • Query performance tuning

• • Working knowledge of core Snowflake features (e.g., dynamic tables, streams, tasks, warehouses, roles)

• A process-oriented mindset, with experience identifying gaps, improving workflows, and implementing repeatable, scalable solutions.

• Demonstrated ability to quickly learn new tools, technologies, and patterns, especially in a rapidly evolving data ecosystem.

• Strong collaboration skills, with the ability to work effectively within a cross-functional scrum team, engineers, analysts, architects, and product partners; to refine requirements, align delivery expectations, and identify process improvements.

• Understanding ETL Orchestration, including orchestration, dependency management, error handling, and data validation.

Should-Have Requirements

• Python skills with practical experience building data pipelines, automation scripts, integrations, and reusable components.
• • Ability to write clean, maintainable, testable code following modern engineering best practices.

• Prior experience implementing template-based and configuration-driven frameworks for ETL processes.

• Ability to design, optimize, and troubleshoot complex data movement pipelines.

• Strong understanding of structured data storage, performance tuning, and schema design.

• Experience with Azure Data Factory (ADF) for orchestration and data movement.

• Ability to do a pull request, migrate code, branching

Could-Have / Nice-to-Have Requirements

• Experience migrating pipelines from Informatica to ADF or another modern orchestration platform.

• Familiarity with DevOps concepts and processes, particularly around:
• • CI/CD for data engineering
  • Branching strategies

• Ability to translate solution architecture blueprints into actionable implementation steps.

• Capable of working closely with a lead engineer or architect to break down a strategy and drive execution on individual components.

Ideal Candidate Traits:

• Curious, proactive, and collaborative.

• Strong communication and teamwork skills.

• Committed to delivering solutions together, not in competition.

• Embraces Agile methodology and promotes a one-team culture.