The BlueCat Cloud Platform team is dedicated to powering all BlueCat SaaS products. Our mission is to deliver these products on a reliable, fast, globally distributed, and cost-effective enterprise-grade cloud infrastructure. A key aspect of this mission is our scalable data service, which supports the growth of BlueCat's data-driven products.
We are seeking a highly skilled Senior Data Engineer with strong ownership, communication, and collaboration abilities to join our team. In this role, you will help us automate a robust and scalable data service used by numerous teams across the company.
Key Responsibilities:
• Design, build, and operate a large-scale data lake
• Build and maintain data pipelines and data services
• Implement data processing and analytics jobs
• Work closely with Application and Platform teams on data requirements
• Contribute to architecture, scalability, and performance decisions
• Ensure data quality, reliability, and observability
• Optimize system performance, scalability, and reliability
• Ensure data protection across the data lifecycle
Core Requirements:
• Strong proficiency in Python and SQL
• Experience with distributed data processing (Spark or Flink)
• Hands-on experience with modern data lakehouse architectures
• Solid understanding of data modeling and warehousing concepts
• Experience building and maintaining reliable data pipelines
• Experience with AWS (or other cloud platforms)
• CI/CD experience (GitLab preferred, GitHub or Bitbucket)
• Infrastructure as Code (Terraform or similar)
• Kubernetes (K8s)
• Understanding of OLAP vs OLTP systems
• Dimensional modeling (Kimball, star schema, surrogate keys, Slowly Changing Dimensions)
Nice to Have:
• Experience with data observability, monitoring, and data quality practices
• Monitoring tools: CloudWatch, Prometheus, Grafana
• Apache Iceberg
• ClickHouse
• Orchestration tools: Dagster or Apache Airflow
If you share our enthusiasm for the future of our company and are eager to contribute to our vibrant workplace, we look forward to receiving your application! Our comprehensive benefits encompass your health, financial well-being, and overall wellness, and we are committed to providing an exceptional work environment, enriching employee programs, and fostering a remarkable company culture. At our core, we champion values such as transparency, curiosity, respect, and above all, the pursuit of enjoyment. In addition, we offer a range of appealing perks, including: A Professional Development Budget Dedicated Wellness Days and Wellness Week A Lifestyle Spending Account An Employee Recognition Program Join us in shaping the future of our organization, where your talent and dedication can truly thrive. We invite you to apply and become a valuable member of our team! BlueCat is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. BlueCat will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
Skills Required
- Strong proficiency in Python and SQL
- Experience with distributed data processing (Spark or Flink)
- Hands-on experience with modern data lakehouse architectures
- Solid understanding of data modeling and warehousing concepts
- Experience building and maintaining reliable data pipelines
- Experience with AWS (or other cloud platforms)
- CI/CD experience (GitLab preferred, GitHub or Bitbucket)
- Infrastructure as Code (Terraform or similar)
- Kubernetes (K8s)
- Understanding of OLAP vs OLTP systems
- Dimensional modeling (Kimball, star schema, surrogate keys)
- Slowly Changing Dimensions
What We Do
BlueCat is the Adaptive DNS™ company. Our mission is to help the world’s largest organizations thrive on network complexity, from the edge to the core. To do this, BlueCat re-imagined DNS. The result – Adaptive DNS™ – is a dynamic, open, secure, scalable, and automated resource that supports the most challenging digital transformation initiatives, like adoption of hybrid cloud and rapid application development.
