Software Engineer/Data engineer
3 weeks ago
we are looking for people who have developed and operated Airflow—not just used airflow to orchestrate data
Responsibilities
- Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.
- Build tools and services to support data discovery, lineage, resiliency, and privacy compliance across the data platform
- Design and develop CI/CD processes for infrastructure components that ensure high availability and agility
- Maintain software engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation
- Evangelize the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption
Basic Qualifications
- Experience with Python
- Experience operating Airflow
- Experience deploying and running cloud-based applications (preferably AWS), utilizing infrastructure-as-code frameworks like Terraform
- Knowledge of Data Engineering practices and tools, such as Spark, Snowflake, ETL concepts, etc.
- Ability to dive deep into any technical component as well as understand the overall systems architecture.
- You care deeply about craftsmanship in your software, and can work backwards from the customer experience.
- You have excellent written and verbal communication skills.
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