Perform database capacity planning, installation, configuration, database design, migration, performance monitoring, security, troubleshooting, as well as backup and data recovery operations.
Act as a subject matter expert for data management and interact with internal and external teams to troubleshoot and provide best practices regarding database implementation and maintenance.
Write and tune SQL queries and review schema designs for optimal performance.
Manage, maintain, and optimize MongoDB databases hosted on AWS infrastructure. Perform proactive performance tuning, indexing, and query optimization. Implement high availability solutions such as replica sets and sharding.
Looking for a skilled Senior Data Platform Engineer to join our dynamic team and work closely with one of our inspiring US clients. Supports AI-enabled features by ensuring that data pipelines, storage layers, and retrieval patterns are aligned with the needs of AI-driven workflows. Contributes directly to the client’s mission by ensuring that data systems are secure, accessible, and performant, enabling the engineering team to build intuitive and intelligent solutions.
Apply expertise in text mining, natural language processing, and data analysis as part of Amplity's innovative Intel team, delivering impactful data products for healthcare clients in this fully remote role. The ideal candidate is detail-oriented, self-motivated, and thrives in a fast-paced environment.
Design, implement, and maintain optimal database schemas for relational (MariaDB) and NoSQL (MongoDB) databases. Monitor and tune performance across all platforms to ensure optimal performance. Implement access controls, encryption, and database hardening techniques. Support and optimize ETL pipelines between MongoDB, MariaDB, and Databricks. Troubleshoot incidents, resolve outages, and perform root cause analysis.