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:
5 years of experience Leading DE teams
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 Acvanced English communication skills (written and oral)
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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