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 building pipelines, orchestration, and cloud infrastructure, not dashboards or business analysis.
What You'll Do
- Build and maintain an AWS-based data platform and Amazon Redshift environment.
- Code and build data pipelines using Python, dbt, and AWS Lambda.
- Work across AWS services including S3, Glue, Step Functions, IAM, and CloudWatch.
- Develop ETL/ELT processes and data transformation workflows.
- Monitor pipeline health and troubleshoot failures, latency, and infrastructure issues.
- Build for reliability, scalability, security, and cloud cost efficiency.
- Support data ingestion into the warehouse environment.
- Maintain data-flow documentation and operational runbooks.
- Translate analytics requirements into technical pipeline and infrastructure solutions.
- Recommend automation and architectural improvements as the platform grows.
- Hands-on experience building within an AWS-based data stack.
- Strong Python development/scripting.
- Experience coding and building data pipelines.
- Understanding of data warehousing and ETL/ELT architecture.
- Ability to independently own technical work in a lean environment.
