Mongo DB Developer

Berkeley Heights, NJ, US • Posted 1 day ago • Updated 1 day ago

Full Time

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Modelling
Database Design
PERFORMANCE TUNING
DATABASES
mongodb
Agile Methodology
Devops
Ansible
DOCKER
KUBERNETES
Problem solving
Access controls
Data Security
Caching
Cryptography
Scrum methodology
Electronic Data Interchange (EDI)
Query Optimisation
Backup Devices
Indexer
Consumer Database Management System

Summary

Title: Mongo DB Developer
Location: Berkeley Heights, NJ (3 Days) and Princeton, NJ(2 Days)
Duration: FTE W2

Key Responsibilities:

Design and implement MongoDB databases: Create scalable and efficient database architectures to support application requirements.
Develop and optimize MongoDB queries: Write efficient MongoDB queries, aggregations, and indexing strategies to ensure high performance.
Integrate MongoDB with applications: Integrate MongoDB with various applications, services, and frameworks, ensuring seamless data exchange.
Ensure data security and integrity: Implement data encryption, access controls, and backup strategies to ensure data security and integrity.
Troubleshoot and optimize performance: Identify and resolve performance bottlenecks, optimizing database configuration and queries for high performance.
Collaborate with development teams: Work with development teams to ensure MongoDB is integrated into applications and provide technical guidance on database design and development.

Required Skills:

MongoDB expertise: Strong knowledge of MongoDB, including data modeling, query optimization, and indexing strategies.
Database design: Experience with database design principles, data modeling, and schema design.
Performance optimization: Knowledge of performance optimization techniques, including query optimization, indexing, and caching.
Data security: Understanding of data security best practices, including encryption, access controls, and backup strategies.

Nice to Have:

Experience with MongoDB Atlas: Knowledge of MongoDB Atlas, including cluster management, monitoring, and scaling.
Familiarity with DevOps tools: Experience with DevOps tools like Docker, Kubernetes, or Ansible.
Agile development methodologies: Familiarity with agile development methodologies, including Scrum or scaled agile.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10113809
Position Id: 105525-1090-
Posted 1 day ago

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