Apache Iceberg
Open jobs
211
Companies looking for Iceberg
198
Let’s be honest, the data lake was starting to feel less like a pristine reservoir and more like a swamp. Enter Apache Iceberg, born from the realization that simply dumping data somewhere wasn’t a viable long-term strategy. It promised to bring reliability and performance to those sprawling lakes, offering transactional consistency and schema evolution – things we used to get with, you know, actual databases.
In practice, it’s a clever table format layered on top of object storage, managing metadata in a way that allows for atomic operations and time travel. Think Delta Lake meets Parquet, but with a slightly different philosophy and a growing ecosystem. While it’s gained traction with companies wrestling with petabyte-scale data and demanding more than just “eventual consistency”, it’s still maturing. It’s not a magic bullet, but a genuinely useful piece of the puzzle for anyone serious about building a reliable data platform.
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Compare to other data catalogsJobs (this month)
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Jobs in using Apache Iceberg for but please no
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data engineer
Senior Staff Software Engineer - Delta @ databricks
DE | 2025-12-28
The role at Databricks is challenging, requiring deep expertise in distributed systems, performance optimization, and open-source development. The position demands leadership, technical acumen,...
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Databricks, AI/ML, Cloud Computing, Delta, Data Lakehouse, Iceberg, PhD, Computer Science, Analytics, Spark | ||
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data engineer
Cloud Data Architect AWS / Google Cloud (all genders) @ adesso-se
DE | 2025-12-25
This role is a misrepresentation of what data engineering entails. The job description claims to focus on cloud data architectures and cloud analytics, but the responsibilities are vague and lack...
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Cloud Computing, Analytics, AWS, GCP, Data Lake, Data Lakehouse, Fabric, Management, Data Engineering, Big Data, Kafka, Spark, Databricks, Delta, Iceberg, DWH | ||
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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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| Analytics, Iceberg, Data Lake |