MongoDB
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Back in the aughts, relational databases were choking on the sheer volume of data being generated, and the cries for something… different grew deafening. MongoDB emerged, promising a flexible, schema-less haven for unstructured and semi-structured data. Quite clever, really, though one does wonder if abandoning decades of relational wisdom was truly the answer. It traded ACID compliance for eventual consistency, a gamble that appealed to developers building at scale, and frankly, tired of endless schema migrations.
Today, MongoDB is a heavyweight, powering everything from e-commerce platforms to IoT applications. It’s essentially the lovechild of a document store and a key-value cache, offering horizontal scalability that traditional SQL databases often struggle to match. While Cassandra and Couchbase offer similar capabilities, MongoDB’s relatively easy learning curve and robust tooling have cemented its position as a leading NoSQL contender. It’s not a silver bullet, mind you, and data integrity remains a constant concern, but for certain workloads, it’s undeniably effective—and remarkably popular.
Used together with MongoDB
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Jobs in using MongoDB for but please no
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analyst
Senior Manager, Sales Operations @ mongodbinc
SG | 2025-12-28
This role oversees sales strategy and planning within APAC, blending analytical expertise with business acumen, and requires managing a team to provide data-driven insights for revenue growth. A...
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Management, Go, GTM, Analytics, KPI, Marketing, SaaS, MongoDB, AI/ML, Cloud Computing, AWS, GCP, Azure | ||
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data engineer
Trading Analytics Developer @ cryptocom
SG | 2025-12-28
Crypto.com’s Quant Trading role fuses hardcore software engineering with quantitative analytics to trade crypto spots and derivatives in a live, unforgiving market. You’ll build Java and Python...
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Java, Python, Kafka, Flink, Cloud Computing, AWS, Kubernetes, Prometheus, Grafana, DataViz, Analytics, C++, Linux, MongoDB | ||
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promoted
The Fundamentals of Analytics EngineeringThe Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies. |
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data scientist
Data Scientist, AVP @ ocbc-bank
SG | 2025-12-23
A Data Scientist, AVP role at OCBC involves leveraging structured and unstructured data to develop machine learning, deep learning, and AI solutions that aim to drive revenue, improve...
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Data Science, AI/ML, Big Data, Analytics, Data Engineering, MLOps, Computer Science, PhD, Python, GenAI, Vector DB, ELK, Pinecone, Hadoop, Spark, Trino, Hive, SQL, NoSQL, MongoDB, Management, API, CI/CD, DevOps, Jira, Jenkins, Git |
