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Senior Data Engineer & Cloud (AWS)

1 month, 2 weeks ago
Mexico
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD CodeBuild dbt FastAPI Flask GitHub Actions Jenkins Python REST API SQL
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51-250
Founded 2016
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Description

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS cloud environments.
  • Manage and optimize data platforms using AWS Glue, Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM.
  • Implement and orchestrate large-scale data processing and analytics workflows with Apache Airflow.
  • Build and optimize data warehouse solutions and business-facing analytical models using dbt, Spark, and SQL.
  • Collaborate with analytics engineers, data scientists, and application developers to deliver secure, scalable, and highly available data solutions.
  • Support CI/CD pipelines and deployment automation for data platform workflows using CodeBuild, Jenkins, and GitHub Actions.
  • Architect and maintain lakehouse storage layers on S3 using Apache Iceberg and/or Delta Lake table formats.
  • Manage AWS Glue Data Catalog, crawlers, and Lake Formation permissions for governance and access control.

Requirements

  • 5+ years of experience in data engineering, data platform, or cloud data engineering roles with a strong focus on AWS data services.
  • Hands-on expertise with AWS Glue (PySpark), Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM.
  • Production experience with Apache Airflow, including DAG development, scheduling, and multi-environment management.
  • Experience building data warehouse solutions and business-facing analytics models using dbt, Spark, and SQL.
  • Strong Python skills for building ETL/ELT pipelines and automation tooling.
  • Familiarity with lakehouse architectures using Apache Iceberg or Delta Lake on S3.
  • Familiarity with CI/CD tooling such as Jenkins, GitHub Actions, and CodeBuild.
  • Basic familiarity with data-adjacent AWS infrastructure services such as Lambda, EventBridge, and SQS.
  • Experience building REST APIs with FastAPI or Flask, particularly for internal Redshift or data platform services.
  • AWS Certifications (Solutions Architect, Developer, or equivalent).

Interested in this position?

Apply directly on the company website

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