Tasks:
- * Architect complex systems
- * Automate data ingestion and transformation pipelines
- * Build and operate data lake infrastructure
- * Debug cloud production systems
- * Drive technical decisions
- * Enforce engineering best practices and compliance
- * Guide implementation
- * Improve data reliability, observability, and integrity
- * Improve team processes through retrospectives
- * Lead subsystem technical design
- * Mentor engineers
- * Participate in on-call and incident response
- * Reduce reliability risks
- * Review code for correctness and performance
- * Shape technical strategy and roadmap
Perks/Benefits:
Skills/Tech stack required:
[Analytical Data] [Analytical data formats] [Apache Airflow] [API Design] [AWS] [CI/CD] [Code review] [Databricks] [Data Engineering] [Data Formats] [Data Ingestion] [Data platforms] [Data Transformation] [DBT] [Distributed Systems] [Elixir] [GTFS] [GTFS rt] [High Reliability] [High Reliability Systems] [Incident Response] [Logging and Monitoring] [Microservices] [Observability] [Pulumi] [Python] [Reliability systems] [Service Oriented] [Service-Oriented Architecture] [Snowflake] [System Architecture] [Technical leadership] [Terraform] [TIDES] [TODS]
Educational requirements:
[Associate Degree] [GED] [High School Diploma]
Role(s):
[Data Platform] [Data Platform Engineer] [Engineer] [Lead] [Lead Software Engineer] [Platform Engineer] [Software Engineer]