Related skills
snowflake sql python go dbt📋 Description
- Build and operate internal data platforms and workflows (Temporal, Airflow).
- Write and maintain internal Python libraries for other teams.
- Develop Temporal-based workflows for long-running data jobs.
- Build internal apps/UI for configuring and running data ingestions.
- Own cost governance for Snowflake, dbt Cloud, Airflow, Kafka.
- Administer Snowflake: RBAC, masking, data policies.
- Own production code end-to-end: design, deploy, operate, incidents.
- Automate service and ML model deployment to production.
- Monitor performance, reliability, and health of prod systems.
- Support Analytics Engineering with orchestration, CI/CD, metadata.
- Collaborate with software, analytics, operations, and product teams.
- Ensure platform and data warehouse activities follow standards and privacy.
🎯 Requirements
- 5+ years of experience in software engineering.
- Strong proficiency in Go or Python.
- Experience building backend systems, internal tools, or platforms in production.
- Strong fundamentals: data structures, algorithms, concurrency, and system design.
- CI/CD, automated testing, code review, and observability.
- Proficiency in SQL and data modeling.
- ETL, data warehousing, and data governance.
- Experience with data-intensive or distributed apps.
- Experience designing APIs, services, and workflows.
🎁 Benefits
- Diversity & inclusive workplace.
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