Senior Data Engineer (Snowflake/AWS)

TL;DR

Senior Data Engineer (Snowflake/AWS): Design and implement scalable ingestion and validation architectures for Snowflake-based data platforms with an accent on data quality, governance, and reliable pipelines. Focus on building ETL pipelines integrating multiple sources, Streamlit validation UIs, and AWS data workflows.

Location: Buenos Aires, Argentina (full-time)

Company

Premier AI services provider committed to co-creating impact through data science, AI, technology, and people for enterprise clients.

What you will do

• Design and implement data ingestion architectures on Snowflake.
• Develop scalable data pipelines and architectures on AWS.
• Build and maintain ingestion pipelines from multiple data sources.
• Define and implement data quality checks, validation schemas, and testing frameworks.
• Establish data governance components including glossaries and stewardship patterns.
• Develop Streamlit-based ingestion validation UI and backend logic.
• Collaborate with internal teams and client stakeholders to align solutions with business needs.
• Contribute to documentation and continuous improvement of data processes.

Requirements

• 3+ years of experience in data engineering.
• Strong hands-on experience in Snowflake-based ETL pipelines (must-have).
• Solid understanding of data quality, validation frameworks, and governance practices.
• Strong communication skills to collaborate across technical and business teams.
• Experience with AWS ecosystem tools such as Glue, Athena, EMR, S3/Lambda (plus).

Nice to have

• Hands-on experience in Snowflake Cortex.
• Experience building CI/CD pipelines for data workflows.
• Experience with AWS-Snowflake data sharing over Iceberg tables.
• Infrastructure-as-code tools like CloudFormation, Terraform, or CDK, as well as dbt.

Culture & Benefits

• Learning opportunities: Certifications in AWS, Databricks, Snowflake; AI learning paths; Udemy Business; English lessons.
• Travel opportunities to conferences and client meetings.
• Mentoring and career development plans.
• Flexible working options; company-provided equipment.
• Celebrations for birthdays and work anniversaries.
• Benefits vary by LATAM location.