What You'll DoDesign and build scalable data pipelines and automation platforms to enable cloud cost transparency, attribution, and optimization.
You'll develop telemetry-driven datasets and tooling that support financial modeling, uncover cost-saving opportunities, and empower stakeholders to make data-driven decisions.
Additionally, you will maintain and enhance end-to-end ELT/ETL workflows and ensure data quality through robust validation and observability practices.What You'll NeedProven experience in FinOps, Cloud Engineering, or Data EngineeringStrong hands-on skills in SQL, Python, and ScalaExperience with workflow orchestration tools (Airflow, dbt, Dagster)Expertise in building and maintaining ELT/ETL pipelines and data modelingFamiliarity with AWS services (Glue, Aurora, Athena), Snowflake, and GCPKnowledge of CI/CD pipelines and Infrastructure as Code (Terraform)Experience with REST APIs and observability tools like DatadogStrong analytical mindset with focus on data validation and auditingFinOps certification is a plusAbility to work with large-scale databases (not spreadsheets like Google Sheets)Key Skillsets to DemonstrateCloud economicsCloud cost attribution and optimizationFinancial modelingFinOps toolingBackground in Economics and Data EngineeringAbout ResourceeResourcee is a nearshore tech recruitment firm built for the modern engineering team.
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