| MongoDB DBA in Reading PA at Reading, Pennsylvania, USA |
| Email: [email protected] |
| From: abhinav, wise equation [email protected] Reply to: [email protected] Candidates must be local or in EST My client has an opening for a MongoDB DBA in Reading, PA . Start date is ASAP and will last for 1 YEAR. This is a temp to perm role Contract Duration:1 YEAR Location preference is Reading, PA but a remote resource will also work provided they are able to travel onsite frequently (~30% travel time). Expenses will be paid. Questions: (must answer YES to #1-3) Are you a MongoDB DBA Do you have experience designing, implementing, security and optimizing MongoDB infrastructure Are you able to work with development teams to understand application requirements and provide guidance on data modeling and database design Are you able to perform regular database performance tuning and optimization to maximize query efficiency and reduce response time. Do you have advanced knowledge of database security, backup and recovery, and performance monitoring standards Description: ## Responsibilities - Design and implement MongoDB database architectures for high-performance, scalable applications - Lead the development of company-wide data architecture strategies and best practices - Optimize existing MongoDB deployments for improved performance and efficiency - Develop complex data models and schema designs that align with application requirements and industry best practices - Implement data migration strategies and manage the evolution of database structures - Developing/setting alerts, observability for MongoDb - Ensure data security, integrity, and compliance with industry standards and regulations (e.g., GDPR, HIPAA) - Implement and maintain MongoDB clusters including replica sets and sharded clusters, ensuring data distribution and fault tolerance - Collaborate with cross-functional teams to integrate MongoDB solutions into enterprise applications - Architect multi-database solutions, integrating MongoDB with other databases and data processing systems - Lead database capacity planning and performance forecasting - Conduct regular architecture reviews and provide recommendations for improvement - Develop, validate and maintain disaster recovery and high availability strategies - Evaluate new database technologies and recommend adoption when appropriate - Troubleshoot complex database issues and provide expert-level support - Stay current with MongoDB updates and emerging database technologies - Translate technical concepts and patterns into business benefits for management - Have situational awareness and react appropriately in group settings - Advise team on architectures, patterns, and strategies for making the best use of MongoDB - Align to support teams with activities such as technical discovery, demos, proof of value (&concept), presentation, sizing, and documentation of technical decision criteria, working across a number of opportunities in parallel - Proactively seek opportunities to support and mentor team members and share standard methodologies - Perform Database upgrade and security patches - Develop and implement backup and recovery strategies to ensure data integrity and minimize downtime. - Work with development teams to understand application requirements and provide guidance on data modeling and database design. ## Requirements: - Bachelors degree in computer science, Information Technology, or related field; Master's degree preferred - 8+ years of experience working with MongoDB in large-scale production environments - 5+ years of experience in a senior database architect role - Deep understanding of MongoDB's core concepts, including sharding, replication, indexing, and aggregation framework - Expertise in performance tuning, query optimization, and database administration across multiple database platforms - Expertise in schema design and data modeling. - Strong knowledge of MongoDB tools such as Compass, Ops Manager, Atlas, and Charts - Experience with other NoSQL databases (e.g., Dynamodb, Cassandra, Couchbase) and SQL databases (e.g., PostgreSQL, Oracle) - Proficiency in multiple programming languages (e.g., Python, Java, JavaScript, Go) - Strong understanding of distributed systems and microservices architecture - Experience with cloud platforms (AWS, Azure, or GCP) and their respective database offerings - Knowledge of data warehousing concepts and ETL processes - Familiarity with big data technologies (e.g., Hadoop, Spark) - Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) - Understanding of machine learning and AI concepts as they relate to data architecture - Excellent problem-solving, communication, and leadership skills Keywords: artificial intelligence golang Pennsylvania MongoDB DBA in Reading PA [email protected] |
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| Wed Oct 16 00:08:00 UTC 2024 |