Remote Data Engineer - ETL/ELT Pipelines & Data Governance

BairesDev

Mexico

Sur place

PHP 5 549 000 - 8 015 000

Plein temps

14 jours+

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Un CV et une lettre de motivation personnalisés, prêts à envoyer.

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Avantages offerts par ce poste

100% remote work
Competitive USD compensation
Home-office hardware provided
Flexible schedule
Paid parental leave & holidays
Mentorship & growth opportunities

Résumé du poste

BairesDev is seeking a Data Engineer to build and maintain robust ETL/ELT pipelines powering well-governed data across the organization. You will work with data cataloging tools and implement observability to ensure data quality and trust throughout the pipeline.

You will contribute to data infrastructure that informs critical business decisions, combining pipeline engineering with governance discipline in a 100% remote, globally distributed team.

Qualifications

  • 5+ years of experience in data engineering.
  • Strong experience with ETL/ELT development.
  • Hands-on experience with AWS, including Glue and Redshift.
  • Experience with data cataloging using Collibra or similar tools.
  • Proficiency in Python.
  • Experience with observability and monitoring for data pipelines.
  • Background in data QA.
  • Advanced proficiency in English.

Responsabilités

  • Build and maintain ETL/ELT pipelines across cloud data infrastructure.
  • Implement data cataloging practices to ensure data assets are discoverable and well-governed.
  • Set up observability and monitoring across data pipelines.
  • Conduct data QA to ensure accuracy and reliability of data assets.

Connaissances

ETL/ELT development
Python
AWS (Glue, Redshift)
Data governance
Observability
Data QA
English proficiency

Outils

Collibra

Description du poste

BairesDev is seeking a Data Engineer to build and maintain robust ETL/ELT pipelines powering well-governed data across the organization. You will work with data cataloging tools and implement observability to ensure data quality and trust throughout the pipeline.

You will contribute to data infrastructure that informs critical business decisions, combining pipeline engineering with governance discipline in a 100% remote, globally distributed team.

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