Data Engineer

Apply now
  • year-experience 5+ Years place México/LATAM contract Remote/Full time english Advanced
Description:

We are looking for a Senior Data Engineer to design, own, and scale the data infrastructure that powers our platform. This role is highly hands-on and involves leading data architecture decisions, building robust and scalable ETL/ELT pipelines, and ensuring high standards of data quality, governance, and performance across the data ecosystem.

You will work with large-scale datasets, optimize data systems for efficiency and cost, and collaborate cross-functionally to translate complex data into actionable insights that support strategic business decisions.

What will you do?

  • Design, develop, and analyze the enterprise data architecture, optimizing data
    warehouses and data lakes for scalability and query performance.
  • Develop, deploy, and maintain robust Data tools, interfaces, and automated ETL/ELT pipelines.
  • Write, test, and perform advanced SQL queries to transform raw data into curated, high-quality information assets.
  • Maintain clear, comprehensive technical documentation for all data assets, database schemas, and ingestion processes.
  • Map, catalog, and manage various organizational databases and data flow streams.
  • Collaborate closely with different teams to translate analytical requirements into
    robust, automated reporting and dashboard solutions.
  • Translate complex technical and analytical concepts into simple, actionable language for business stakeholders.
  • Use project management and leadership skills to drive data projects to successful completion.

Requirements:
  • Bachelor's Degree (B.A.) or equivalent four-year degree in Data Engineering, Computer Science, or a related field (Business Information or MIS acceptable with strong technical experience), Masters degree preferred.
  • 5+ year(s) of progressive experience in Data Engineering, Data Architecture, or a similar role, with a proven emphasis on building and maintaining scalable data infrastructure.
  • Expertise in core AWS services for data processing, orchestration, and AI/ML, specifically: Glue, Redshift, Athena, Step Functions, Lambda, SageMaker, Bedrock, and Agent Core.
  • Expert proficiency in SQL and demonstrable experience in database administration (DB/DBA).
  • Proven track record of designing, building, and deploying scalable Data solutions (e.g., ETL/ELT tools, reporting tools).
  • Experience with Python, Java, or R for data manipulation, scripting, and pipeline development.
  • Strong working knowledge of Computer Science fundamentals.
  • Proficiency in data visualization software (e.g., PowerBI, Superset, QuickSuite) and experience delivering reporting and dashboard solutions.
  • Deep experience working with and optimizing data warehouses and/or data lakes to extract trends, validate data accuracy, and support predictive modeling.
  • Strong analytical, deductive reasoning, critical thinking, innovation, and problem-solving skills.
  • Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models.
  • Organized and self-motivated quick-study with ability to define goals, manage projects, train others and prioritize work.
  • Advanced English.
Nice to have: