Data Engineer (AWS)

UNAVAILABLE; Argentina; Remote; ARS 139,474,000 - 201,463,000; Full time

Job summary

Bridgenext is seeking a Data Engineer to support the development of a modern AWS-based data platform, following Medallion Architecture principles. The role focuses on designing and implementing scalable data ingestion, transformation, and storage solutions.

Remote LATAM role, preferably in Argentina, with responsibilities spanning Bronze-Silver-Gold data layers, ingestion from multiple sources, and cost-efficient data management.

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 AWS Glue Jobs.
• Experience ingesting data from diverse structured and unstructured sources.
• Strong SQL and data modeling skills.
• Experience with Lake Formation, Athena, Redshift, or EMR (preferred).

Responsibilities

• Design and implement data pipelines across Bronze, Silver, and Gold layers.
• Develop ingestion processes from multiple internal and external 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 business stakeholders to meet reporting and analytics requirements.
• Optimize performance, reliability, and cost efficiency of data solutions.

Skills

Data Engineering

Medallion Architecture

AWS

S3

Glue Jobs

IAM Security

SQL

Data Modeling

Tools

AWS Glue

Amazon S3

IAM

Job description

Company Overview

At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.

Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.

Position Description

We are seeking a Data Engineer to support the development of a modern AWS-based data platform following Medallion Architecture principles. The successful candidate will help design and implement scalable data ingestion, transformation, and storage solutions.

Responsibilities:

• Design and implement data pipelines across Bronze, Silver, and Gold layers
• Develop and maintain ingestion processes from multiple internal and external 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 business stakeholders to meet reporting and analytics requirements
• Optimize performance, reliability, and cost efficiency of data solutions

Workplace: Remote based role in LATAM, preferably in Argentina

Must Have Skills:

• 4+ years of experience in Data Engineering
• Strong knowledge of Medallion Architecture and modern data lake practices
• Hands-on experience with AWS services
• Experience working with Amazon S3
• Experience creating and managing AWS Glue Jobs
• Understanding of IAM roles, security policies, and access management
• Experience ingesting data from diverse structured and unstructured sources
• Strong SQL and data modeling skills

Preferred Skills:

• Experience with Lake Formation, Athena, Redshift, or EMR
• Knowledge of data governance and metadata management
• Experience working in Agile delivery environments

Professional Skills:

• Excellent English communication (written and oral) and interpersonal skills
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high quality results
• Self-sufficient, independent requiring very little supervision or intervention
• Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer

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