Senior Data Engineer
Indexed description
Job Description
We are looking for a Data Engineer with a interest in AI, automation, and progress. You will design scalable data platforms that power analytics, AI/ML use cases, and business-critical reporting. You will go beyond traditional ETL—combining modern data engineering practices with AI‑assisted development, automation, and.
- Design, and maintain scalable, production‑grade data pipelines across cloud data platforms (e.g., AWS Redshift, S3, MWAA/Airflow).
- Work as part of a team to build and support a data warehouse, implement solutions using Python to process structured and unstructured data.
- SQL and data to understand and troubleshoot existing complex SQL.
- Partner with Data Science and analytics teams to operationalize data for AI use cases, including feature pipelines, model inputs, and downstream use.
- Apply AI‑assisted development tools (e.g., code generation, automation, validation) to improve developer productivity and reduce manual effort.
- Participate in production support and incident resolution, with a focus on root cause analysis and prevention
- Contribute to data standards, best practices, documentation, and reusable frameworks that accelerate delivery across teams.
- Participate in a production on-call rotation.
- 5+ years of experience in Data Engineering development
- 5 years of experience in Python scripting
- 3 years of experience with AWS ecosystem (Redshift, EMR, S3, MWAA)
- 5 years of experience in Agile development method.
- Understand complex metrics and translate our requirements to technical requirements
- Education: BS degree or higher in computer science or related fields
- Proficiency in CI/CD tools (Jenkins, GitLab, etc.)
Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.
This is a fully remote job opportunity.
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