- Provide architectural expertise on AWSDocumentDB MongoDB making recommendations for optimal database design and performance
- Collaborate with crossfunctional teams to understand data requirements and translate them into scalable and efficient MongoDB solutions
- Stay abreast of MongoDB advancements and best practices to drive continuous improvement
- Lead the development of a data lake using MongoDB as the primary NoSQL database
- Design and implement data models optimized for efficient storage retrieval and analysis within
- Designing and building largescale solutions in an enterprise setting in the cloudExpertise in building and managing Cloud databases such as AWS DocumentDB in building Cloud Database Management Systems
- Experience with the practical application of data warehousing concepts methodologies and frameworks using traditional (Vertica Teradata etc) and current (SparkSQL Hadoop Kafka) distributed technologies Refined skills using one or more scripting languages (eg Python bash etc)
- Strong proficiency in MongoDB including installation configuration and administration
- Solid understanding of NoSQL database concepts and best practices
- Familiarity with database security encryption and compliance
- Experience with data warehouses/RDBMS like Redshift and NoSQL data stores such as DocumentDB
- Experience in building data lakes using AWS Lake Formation
Experience with workflow orchestration and scheduling tools like AWS StepFunctions AWS MWAA etc