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Back in the hazy days when relational databases struggled to scale beyond a certain point—and everyone decided they needed “NoSQL”—Amazon gifted us DynamoDB. The promise? Limitless scalability, single-digit millisecond performance, and a blissful escape from joins. It’s essentially a key-value and document database on steroids, cleverly distributing data across multiple servers. Quite clever, really, though one does wonder if the sheer complexity hidden under the hood justifies the performance gains for every use case.
In practice, it’s a bit more nuanced. Forget ad-hoc querying; DynamoDB demands you know your access patterns before you even begin. Think carefully about your primary keys, or prepare for expensive table scans. Compared to Cassandra or MongoDB, it’s arguably easier to manage—provided you stay within Amazon’s ecosystem—and offers tighter integration with other AWS services. Today, it’s a mainstay for session management, gaming leaderboards, and any application needing to handle truly massive scale…as long as you’re willing to pay the price in operational complexity and flexibility.
Used together with DynamoDB
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Jobs in using DynamoDB for but please no
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data engineer
Software Engineer- Data Platform @ pagaya
IL | 2025-12-27
Pagaya seeks a data engineer to develop scalable data pipelines and architecture using AWS tools like S3, Athena, and DynamoDB. The role's differentiator is support for LLM-driven workflows,...
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AI/ML, API, Data Engineering, Analytics, AWS, S3, Athena, DynamoDB, Python, Kubernetes, ETL/ELT, SQL, Computer Science, Go | ||
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data engineer
Data Engineer -601/602 @ ptrglobal
US | 2025-12-24
| USD
65 - 70
/ hour
A data engineer role focused on AWS, Python, and Spark within a bank's consumer division; requires designing data pipelines and models, with a differentiator being expertise in cloud data lake...
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AWS, Python, Spark, Data Lake, Agile/Scrum, Data Collection, Analytics, SQL, NoSQL, Data Quality, Data Governance, Data Engineering, PySpark, GenAI, API, Cloud Computing, Data Lakehouse, Databricks, Hadoop, PostgreSQL, Oracle, Cassandra, DynamoDB, MongoDB, Snowflake, Redshift, Airflow, Unix, Avro, Protobuf, Parquet, Iceberg, Data Streaming, Data Modelling, Data Vault, dimensional modeling, CI/CD | ||
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promoted
Masthead DataMasthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data. |
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data engineer
Senior Software Engineer (Enterprise+ App team) @ trustpilot
DK | 2025-12-24
This role is a misrepresentation of what a senior software engineer at Trustpilot should entail. The description is vague, lacks specific technical details, and emphasizes vague notions of...
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Management, Data Science, Data Analytics, API, Cloud Computing, React, AWS, AWS Lambda, CloudFormation, TypeScript, DynamoDB, PostgreSQL, BigQuery, Go | ||
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data engineer
Senior Data Architect @ automat-it
IL | 2025-12-24
The Senior Data Architect at Automat-it is responsible for designing scalable, cost-efficient data solutions on AWS, working closely with startup clients to translate concepts into production. A...
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Cloud Computing, AWS, DevOps, FinOps, GenAI, Analytics, Data Engineering, Amazon EC2, S3, Amazon RDS, AWS Lambda, CloudFormation, DynamoDB, AWS Glue, Athena, Redshift, Amazon EMR, Kinesis, QuickSight, dbt, Cyber Security, Iceberg, Kubernetes, CI/CD, ETL/ELT, Data Analytics |
