This position is posted by Jobgether on behalf of a partner company. We are currently looking for an ETL Developer (VM) in Latin America.

We are seeking a skilled ETL Developer to design, build, and maintain scalable data pipelines that power business insights and analytics for global clients. In this role, you will work closely with Data Engineering and BI teams to ensure efficient, reliable, and well-documented data flows from source systems to cloud-based data warehouses. You will contribute to modernizing legacy ETL processes using AWS Glue, Redshift, and S3, enabling self-service data access and eliminating manual interventions. The ideal candidate is independent, detail-oriented, and enjoys solving complex data problems in a collaborative, fully remote environment. You will have the opportunity to work with cutting-edge cloud technologies and help shape the data infrastructure for high-impact enterprise solutions.

Accountabilities

Develop, automate, and maintain ETL workflows using AWS Glue (Python/PySpark) to ingest, transform, and load data into Redshift and S3.
Monitor, troubleshoot, and optimize ETL pipelines to ensure data accuracy, performance, and SLA compliance.
Collaborate on data modeling and design analytics-ready datasets using dimensional modeling and star schemas.
Document data flows, lineage, and system specifications to ensure governance and clarity.
Support BI teams by resolving data discrepancies and improving pipeline efficiency.
Participate in code reviews, testing, and continuous improvement of ETL development standards.
Provide production support and assist with troubleshooting and resolving operational data issues.

Requirements

Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
3+ years of professional experience as an ETL Developer with hands-on AWS experience (Glue, Redshift, S3).
Strong SQL and Python skills (PySpark preferred).
Experience building batch ETL pipelines and working with data warehousing concepts (ODS, dimensional modeling, slowly changing dimensions).
Ability to troubleshoot pipeline failures and optimize performance and cost.
Excellent problem-solving, analytical, and organizational skills.
Clear communication skills to explain technical details to non-technical stakeholders.
Independent, proactive, and able to work effectively in a fully remote environment.

Benefits

Competitive salary paid in USD.
Long-term employment opportunities.
Flexible working hours within US Time Zones.
100% remote work with full autonomy.
Opportunity to work with cutting-edge cloud technologies and global clients.
Learning and growth opportunities in data engineering and analytics.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or additional assessments) are handled by their internal hiring team.

Thank you for your interest!

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