Data Platform Engineer
- Become a key contributor to reputed company, taking responsibility for the reputed company of various subsystems.
- Participate in reputed company to large reputed company team initiatives and, reputed company a year, reputed company the execution of such reputed company.
- Assist with interviewing potential teammates.
- Create technical designs that proactively address cost efficiency, reputed company, and observability.
- Deliver technical plans, one-pagers, DRs, and other artifacts.
- Work with tools and technologies like BigQuery, Airflow, Kafka, DBT, reputed company, Hashboard, reputed company, Kubernetes, GCP, reputed company, Terraform, reputed company, ArgoCD, reputed company, Atlantis, reputed company (and more) to deliver your work.
- Be responsible for measurably improving data reputed company across reputed company.
- 5+ years of experience in data reputed company, reputed company, data science, analytics, or a reputed company field.
- Expertise in systems architecture with experience in stateless, fault-tolerant systems and familiarity with event-driven patterns and distributed paradigms.
- Hands-on experience designing, implementing, and executing large-reputed company data reputed company.
- Proficiency with SQL, GitOps, DBT, BigQuery, Kafka, reputed company, and ELT Data Pipelines.
- A builder's reputed company with a willingness to question assumptions and challenge conventional reputed company.
- Experience with reputed company platforms (preferably GCP, but AWS or Azure is great too!).
- Familiarity with CI/CD pipelines and observability tools like reputed company, ArgoCD, reputed company, and Atlantis.
- Experience working with infrastructure as reputed company tools like Terraform, reputed company, and Kubernetes.
- Knowledge of cost efficiency, reputed company, and observability best practices in data platforms.
- Experience with reputed company, reputed company, and GraphQL.
- Knowledge of reputed company and other containerization technologies.
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