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Job Description
Mongo DB DBA Berkeley Heights, NJ (5days Onsite) Contract - W2 Role Overview We are seeking a designs, optimizes, and manages document-based NoSQL databases to ensure high performance, scalability, and security. They bridge backend application requirements with database architecture, handling tasks like schema design, aggregation pipelines, and cloud database management
Responsibility:
Database Architecture:
Design and implement scalable data models, including advanced schema design, indexing, and sharding strategies for high-volume datasets NoSQL Data Design and implementation: Design flexible schemas, indexes, and aggregation pipelines in MongoDB to support high-speed, unstructured, and semi-structured application data.
Data Governance & Metadata:
Manage data governance standards, metadata management, and data lineage for both event streams and historical data stores.
Performance Tuning:
Optimize complex queries, manage the Aggregation Framework, and troubleshoot system bottlenecks
Infrastructure Management:
Maintain high availability through replica sets, perform database upgrades, and define backup and disaster recovery procedures.
Security & Compliance:
Enforce data protection, manage roles and permissions, and ensure compliance with security standards (e.g., PII, PCI).
Integration & Migration:
Develop backend APIs (e.g., Node.js, Python, Java) and manage ETL/ELT processes or data migrations between SQL and NoSQL environments
Qualification:
Core Expertise:
5 to 8+ years of experience of MongoDB features, BSON data structures, and the
MongoDB Aggregation Framework Tools:
Proficiency with MongoDB Atlas, Compass, and the
MongoDB Shell Cloud Environments:
Familiarity deploying and managing databases on cloud-native platforms like
AWS, Google Cloud Platform, or Azure Programming Languages:
Proficiency in backend languages such as
Python, Java, or JavaScript Integration:
Kafka:
manage, support and integrate event-driven architecture, topics, schemas, and event payloads.
Flink & Spark:
manage, support, and integrate for stateful stream processing and large-scale batch ETL pipelines.
Education:
Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field.
Behavioral Skills:
Good Communication skills Flexible to rotational shifts, 5 days WFO Team Player Ability to work in a changing environment Strong problem solving and analytical skills Ability to work independently or within a team Manage day-to-day challenges and communicate developmental risks with the technical team.
