Strong educational background in Computer Science or Software Engineering.
8 to 12 years of professional experience managing complex, distributed and multi-tier Big Data / Analytics environments.
Proven experience as a database SRE, specifically with MPP technologies such as SingleStore, ClickHouse, Vertica, Doris, etc
In-depth knowledge of datastore performance tuning, query optimisation and troubleshooting along with DR setup / Backup and recovery procedures.
Extensive experience working with public cloud platforms (AWS & GCP) and Kubernetes container deployments.
Expertise in automation, including the development of tools and scripts to monitor server-side components and improve operational efficiency.
Familiarity with architectural and design considerations related to scalability, reusability, and flexibility.
Demonstrate strong problem-solving and critical thinking skills, along with a solid ability to quickly evaluate and apply new technologies.
A passion for solving challenging engineering problems and triaging complex operational issues in collaboration with various engineering and customer teams.
Experience with data visualisation tools such as Tableau, Looker and Apache Superset.
Knowledge of open-source Vector databases such as Milvus, Weaviate, etc. is a plus.
Proficient in Application development using any programming language, with a focus on designing and building tools and frameworks for managing and scaling Big Data technologies.