Related skills
aws snowflake dbt airflow kafka📋 Description
- Data Platform Development: Design scalable data pipelines, storage, and access layers using cloud-native tech.
- Pipeline Execution: Build and optimize core data platform components including streaming and ETL.
- Data Quality & Security: Implement data quality, lineage, and access controls for security and compliance.
- Cross-functional Collaboration: Work with Product, Analytics, Infrastructure, and Security teams.
- Team Mentorship: Provide technical guidance and code reviews for engineers on the team.
- Performance & Observability: Improve data pipeline performance, observability, and cost efficiency.
🎯 Requirements
- 5+ years in software engineering with data infrastructure.
- Proven experience building production-grade data pipelines at scale.
- Hands-on with Snowflake, dbt, Kafka, Airflow, Spark; AWS, GCP, or Azure.
- Experience building and integrating APIs and services for data ingestion and observability.
- Secure data handling with SOC2 or GDPR familiarity.
- Strong communication and collaboration; startup/high-growth SaaS experience preferred.
🎁 Benefits
- Medical, Dental, Vision coverage.
- Family Forming benefits, Life & Disability Insurance.
- Unlimited Vacation.
- Hybrid work environment.
- Opportunity to work with FloQast's AI-powered platform.
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