A leading global digital marketing and client reporting solutions company seeks a skilled Database Engineer to join their rapidly expanding team. The role offers the opportunity to work with cutting-edge Machine Learning and Artificial Intelligence technologies while serving top-tier clients in the fintech sector.
Our client is a global leader in digital marketing and client reporting solutions, empowering financial professionals to enhance investor engagement and retention. With operations spanning four continents, they are rapidly expanding their team worldwide. Serving top-tier clients in the fintech sector, they seek individuals passionate about technical R&D and solution design, offering hybrid work opportunities.
The team is broadening its focus to support Machine Learning (ML) and Artificial Intelligence (AI) initiatives. This will also provide a valuable chance to work with advanced ML and AI technologies and contribute to innovative projects. Collaborate with developers and data engineers to design data models, select technologies, and enhance stability and observability with SRE & Cloud Engineering teams. Design and implement high-availability database features, including replication and disaster recovery methodologies. Develop optimized database schemas, SQL queries, and stored procedures that follow best practices for high performance and scalability. Conduct compliance testing and ensure pre-production and production databases are tuned for peak performance and minimal downtime. Test and deploy new database versions and patches to maintain optimal performance and security. Contribute to team knowledge-sharing and upskilling sessions, promoting best practices and supporting continuous learning. Integrate database management into CI/CD pipelines and oversee traditional DBA tasks like backups, maintenance, and disaster recovery while ensuring regulatory compliance. Open to working with various database technologies, both relational (e.g., MySQL with RDS, MS SQL Server) and NoSQL. Proficient in AWS data services (EC2, RDS, S3) and skilled in database performance tuning, query optimization, and execution plan analysis. Experience with scripting languages (Python, Unix/Linux Shell) and managing databases on Unix platforms
Database Engineer Fintech Machine Learning Artificial Intelligence AWS
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