<p>Seeking a hands-on Data Platform Engineer to build and operate the AWS infrastructure supporting an enterprise analytics environment. This is an engineering-focused position centered on <strong>building pipelines, orchestration, and cloud infrastructure</strong>, not dashboards or business analysis.</p><p><br></p><p>What You&#39;ll Do</p><ul><li>Build and maintain an AWS-based data platform and Amazon Redshift environment.</li><li>Code and build data pipelines using Python, dbt, and AWS Lambda.</li><li>Work across AWS services including S3, Glue, Step Functions, IAM, and CloudWatch.</li><li>Develop ETL/ELT processes and data transformation workflows.</li><li>Monitor pipeline health and troubleshoot failures, latency, and infrastructure issues.</li><li>Build for reliability, scalability, security, and cloud cost efficiency.</li><li>Support data ingestion into the warehouse environment.</li><li>Maintain data-flow documentation and operational runbooks.</li><li>Translate analytics requirements into technical pipeline and infrastructure solutions.</li><li>Recommend automation and architectural improvements as the platform grows.</li></ul>

<ul><li>Hands-on experience building within an AWS-based data stack.</li><li>Strong Python development/scripting.</li><li>Experience coding and building data pipelines.</li><li>Understanding of data warehousing and ETL/ELT architecture.</li><li>Ability to independently own technical work in a lean environment.</li></ul>

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