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

Companies with Jobs

429

Jobs in using Apache Hive for but please no

data engineer

Senior Data Engineer @ bain-and-company

JP | 2025-12-26
Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the... read more »
AI/ML, Analytics, Management, Data Engineering, Data Science, Cloud Computing, Python, Scala, C, C++, Java, Go, Airflow, Beam, SQL, NoSQL, Databricks, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, ELK, Hive, Apache HBase, Teradata, Cassandra, Redshift, AWS, Azure, GCP, Kubernetes, Terraform, DevOps, CI/CD, GitHub, Computer Science, Agile/Scrum
data engineer

Senior Software Engineer, Trino @ treasure-data-inc-

JP | 2025-12-25
Treasure Data seeks a seasoned professional to develop and maintain solutions around the Trino query engine amid a team of Big Data experts. The role emphasizes technical excellence and community... read more »
AI/ML, CDP, Trino, Hive, Hadoop, Big Data, Management, Computer Science, MySQL, PostgreSQL, Cloud Computing, AWS, GCP, Microsoft, NoSQL, HDFS, S3, Cassandra, Scala, IaC, Marketing