Data Engineer (LATAM)

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is... Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need а Senior Data Engineer in Latin America.

Hands-on senior engineer responsible for building, optimizing, and maintaining production data pipelines on one cloud platform, working within the broader data engineering team to deliver reliable, scalable data solutions that support analytics and downstream applications.

Key Responsibilities:

Design, build, and maintain scalable ETL/ELT pipelines on AWS or Azure
Optimize pipeline performance, reliability, and cost-efficiency
Implement data-quality checks, monitoring, and alerting for production pipelines
Collaborate with the Data Engineering Lead and Architect on pipeline design and standards
Support data modeling and schema design together with the Data Modelling Analyst
Troubleshoot and resolve data pipeline issues in production
Participate in code reviews and contribute to engineering best practices

Requirements:

5+ years of hands-on data engineering experience
Deep expertise in one cloud platform: AWS (Glue, S3, Redshift, EMR, Lambda, Kinesis) or Azure (Data Factory, Synapse, ADLS, Databricks)
Strong SQL and Python (or Scala) skills; experience with orchestration tools (Airflow, ADF, etc.)
Experience with ETL/ELT design, data-quality checks, and performance optimization
Familiarity with distributed data processing frameworks (Spark)
Experience operating production data pipelines at scale
Solid understanding of data warehousing and dimensional modeling concepts

Nice to Have: