Data Engineer

Required skills

Requirements

5+ years of data engineering experience
Experience building end-to-end production data pipelines across landing, transformation, and analytics layers (e.g. S3, AWS Glue, Iceberg)
Experience with AWS-native ETL development (e.g. AWS Glue, S3, Iceberg)
Experience provisioning and managing pipeline infrastructure with Terraform (e.g. Glue job configuration, Iceberg warehouse paths, per-environment asset buckets)
Experience packaging and distributing shared Python logic as .whl files via --extra-py-files in Glue
Experience with CI/CD pipelines for data infrastructure and code artifacts (e.g. GitHub Actions)
Proficiency with system instrumentation (e.g. alerting, monitoring, data lineage, validation frameworks)
Strong communication skills in both spoken and written English

This is a full-time role (40 hours/week) for a 6-month contract
Build and maintain an hourly gold-layer pipeline that reads a per-client Iceberg metric registry (materialized from YAML via CI) and computes base sums, compounds, and ratios, storing additive numerator/denominator pairs alongside an audit-only daily ratio
Maintain and evolve a long-format fact table (reporting_metric_fact) with OK/ERR status marking, completeness reporting, cascade reprocessing on variant changes, and atomic commits for consistent downstream reads

Interested in this job?

We're still accepting applications for this position

Refer a friend

LATAM · 100% Remote Short-term · 6 months · 40h/week 5+ years

Your referral link

or share via

Link copied to clipboard