Apache Hive

data warehouse, sql, hadoop
Open jobs

468

Companies looking for Hive

429

Back in the dark ages of Big Data – roughly 2010 – when Hadoop was the only game in town and SQL skills were suddenly in demand again, came Apache Hive. The promise? Let analysts query massive datasets using familiar SQL, translating it all into MapReduce jobs under the hood. Quite clever, really, though one does wonder if anyone actually enjoyed waiting several minutes for a simple count query to complete.

Hive essentially became the on-ramp for business intelligence folks to Hadoop, and for a while, it was indispensable. But then came Impala, Presto, Spark SQL… all offering drastically faster query performance. Hive still chugs along, largely as a data warehousing solution and batch processing engine, especially in organizations with deeply entrenched Hadoop ecosystems. It's a bit like that reliable, slightly rusty pickup truck in your garage – not glamorous, but it gets the job done… eventually.

Used together with Hive

Jobs (this month)

468

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429

Jobs in using Apache Hive for but please no

data scientist

Data Scientist II – QuantumBlack, AI by McKinsey @ quantumblack

GB | 2025-12-28
London-based Data Scientist II at QuantumBlack promises a fast-track in a high-performance, client-facing lab where ML meets real business impact. The role blends model work with production... read more »
Analytics, R, AI/ML, PhD, Computer Science, SQL, Python, Data Science, Big Data, PySpark, Hive, Hadoop, SPSS, SAS, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, GenAI, Management
analyst

Managing Consultant, Advisors & Consulting Services, Performance Analytics @ mastercard

GB | 2025-12-24
Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms... read more »
Analytics, Management, Marketing, Data Science, BI, KPI, Data Analytics, Python, R, SQL, SAS, DataViz, Tableau, Power BI, Word, PowerPoint, Hadoop, Hive, PySpark, Cloud Computing, AWS, Azure, GenAI, Big Data, Cyber Security