Design, build, and maintain scalable data pipelines and ETL/ELT on AWS.
Manage data platforms with AWS Glue, Redshift, Athena, S3, and IAM.
Orchestrate workflows with Apache Airflow for large-scale processing.
Build data warehouses and analytics models with dbt, Spark, and SQL.
Architect lakehouse storage on S3 using Iceberg or Delta Lake.
Collaborate with analytics, data science, and application teams to deliver data solutions.

🎯 Requirements

5+ years in data engineering roles with AWS data services.
Hands-on with AWS Glue, Redshift, Athena, S3, Glue Data Catalog, IAM.
Production experience with Airflow: DAG development and multi-environment management.
Experience building data warehouses and analytics models with dbt, Spark, SQL.
Strong Python skills for ETL/ELT pipelines and automation.
Familiarity with lakehouse architectures using Iceberg or Delta Lake on S3.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot