Remote Data Engineering Lead — AWS Medallion Platform

UNAVAILABLE

Argentina

Remote

ARS 100,074,000 - 138,564,000

Full time

3 days ago
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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 is remote-based in LATAM, preferably in Argentina.

Responsibilities include designing pipelines across Bronze, Silver, and Gold, building scalable ingestion processes from multiple sources, and creating ETL/ELT workflows using AWS-native technologies. You will manage AWS Glue Jobs and data transformations and ensure governance and cost

Qualifications

  • 5 years of experience leading data engineering teams
  • Experience with Medallion Architecture and modern data lake practices
  • Hands-on AWS experience including S3 and Glue
  • Strong SQL and data modeling skills
  • Experience ingesting data from diverse sources

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

Skills

Medallion architecture
AWS services
Amazon S3
AWS Glue
Data modeling
SQL
Data ingestion
Security IAM

Job description

Bridgenext is seeking a Data Engineer to support the development of a modern AWS-based data platform following Medallion Architecture principles. The role is remote-based in LATAM, preferably in Argentina.

Responsibilities include designing pipelines across Bronze, Silver, and Gold, building scalable ingestion processes from multiple sources, and creating ETL/ELT workflows using AWS-native technologies. You will manage AWS Glue Jobs and data transformations and ensure governance and cost

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