We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting. Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling). Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes. Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks). Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling). 4 years of relevant experience delivering dashboards and analytics solutions in AWS.
Strong SQL proficiency with experience building maintainable, production-grade query logic. Hands-on experience with Amazon Athena and S3-based analytics workflows.
Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS). Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD. Strong troubleshooting and root
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