Remote Data Engineer - AWS & Data Lake

Bridgenext; Argentina; Remote; ARS 131,726,000 - 185,966,000; Full time

Job summary

Bridgenext seeks a Data Engineer to build a modern AWS-based data platform following Medallion Architecture. You will design scalable data ingestion, transformation, and storage solutions and own end-to-end data pipelines across Bronze, Silver, and Gold layers.

You will implement ingestion from diverse sources, develop ETL/ELT workflows using AWS-native tools, and manage Glue Jobs and S3 data lakes while ensuring data quality, governance, and security.

Qualifications

• 4+ years of experience in Data Engineering.
• Strong knowledge of Medallion Architecture and modern data lake practices.
• Hands-on experience with AWS services and Amazon S3.
• Experience creating and managing AWS Glue Jobs.
• Understanding of IAM roles, security policies, and access management.
• Strong SQL and data modeling skills.
• Experience with Lake Formation, Athena, Redshift, or EMR (preferred).
• Experience working in Agile delivery environments (preferred).

Responsibilities

• Design and implement data pipelines across Bronze, Silver, and Gold layers.
• Develop and maintain ingestion processes from multiple data sources.
• Create scalable ETL/ELT workflows using AWS-native technologies.
• Develop and manage AWS Glue Jobs and data transformation processes.
• Configure and maintain S3-based data lakes.
• Implement data quality, monitoring, and governance controls.
• Collaborate with Data Analysts and stakeholders to meet reporting needs.
• Optimize performance, reliability, and cost efficiency of data solutions.

Skills

4+ years

Medallion architecture

AWS services

Amazon S3

AWS Glue Jobs

IAM & security

SQL & data modeling

Lake Formation/Athena/Redshift/EMR

Agile delivery

Tools

AWS Glue

Amazon S3

Athena

Redshift

EMR

Job description

Bridgenext seeks a Data Engineer to build a modern AWS-based data platform following Medallion Architecture. You will design scalable data ingestion, transformation, and storage solutions and own end-to-end data pipelines across Bronze, Silver, and Gold layers.

You will implement ingestion from diverse sources, develop ETL/ELT workflows using AWS-native tools, and manage Glue Jobs and S3 data lakes while ensuring data quality, governance, and security.