Senior Data Engineer - Snowflake (LATAM Only)

About Aubrant

Aubrant Digital is a leader in multi-shore custom application development. We are passionate about solving our clients’ business problems through consultative teamwork, innovative software, and proven processes. We’ve served more than 50 clients and delivered hundreds of high quality, custom enterprise applications. Our clients value us as integral team members who get the job done on time and on spec, and we are proud of our high client retention rate and under 2% staff turnover. With offices in New Jersey, Boston, Costa Rica, and Eastern Europe, we execute the full software lifecycle, from architecture and design through development, QA and application maintenance & support. Our company culture emphasizes client service, trust-based relationships, and innovation.

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.