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Senior Data Engineer – Cloud, AWS

Data EngineerData EngineerFull TimeRemoteSeniorTeam 201-500Since 2013H1B SponsorCompany SiteLinkedIn

Location

Mexico

Posted

10 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Engineer – Cloud, AWS

Goods & Services

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS cloud environments. • Manage and optimize data platforms using services such as AWS Glue, Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM. • Implement and orchestrate workflows with Apache Airflow for large-scale data processing and analytics. • Build and optimize data warehouse solutions and business-facing analytical models using dbt, Spark, and SQL. • Collaborate with cross-functional teams to deliver secure, scalable, and highly available data solutions. • Support CI/CD pipelines and deployment automation for data platform workflows, especially with 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 data governance and access control.

Job 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.

Benefits

  • Health insurance
  • Professional development
  • Flexible work arrangements

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