Senior Database Reliability Engineer (DBRE)

What your day could consist of:

• Lead the design, implementation, and optimization of database systems to support data warehousing and analytics requirements.
• Work closely with software engineers, data scientists, and analysts to understand data needs and design efficient database schemas and structures.
• Optimize database performance through query tuning, indexing strategies, and partitioning techniques.
• Establish and enforce best practices for database design, data modeling, and data governance.
• Monitor database health and performance metrics, and implement proactive measures to ensure system reliability and availability.
• Evaluate and recommend new technologies and tools to improve database scalability, performance, and efficiency.
• Mentor junior team members and provide technical guidance and expertise.
• Collaborate with cross-functional teams to troubleshoot and resolve database-related issues and challenges.
• Stay abreast of industry trends and advancements in database technologies, and drive innovation and continuous improvement.

What is needed:

• 5 years of experience designing, implementing, and optimizing NoSQL database systems, such as DynamoDB, Cassandra, Vertica, Amazon Redshift, Google BigQuery, or Snowflake.
• Strong proficiency in SQL query optimization, database tuning, and performance monitoring.
• Hands-on experience with ETL processes, data modeling, and data pipeline orchestration.
• Experience deploying and managing services hosted on Kubernetes. 
• Solid understanding of distributed systems, data replication, and high availability architectures.
• Proficiency in programming languages such as Python, Java, or Scala.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, Agile environment.
• Experience leading database architecture and design projects is a plus.