Skill specialists
Hire Hadoop Engineers
Browse data infrastructure engineers with Hadoop ecosystem expertise for large-scale data processing, HDFS-based data lakes, and cloud migration to Spark and Databricks.
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Konstantinos
Akmal
Ammar Hussein
Bhaskar Reddy Pailla
Sudhakar Kondeti
Hiring guide
Why companies hire Hadoop experts
Hadoop engineers manage large-scale distributed data infrastructure used in enterprise AI systems. Many companies also hire Hadoop engineers for cloud migration projects — modernising legacy data platforms to Spark, Databricks, or cloud-native solutions.
Popular projects
- Migrate your legacy Hadoop cluster to Spark, Databricks, or cloud
- Optimise slow Hive queries degrading your data pipeline performance
- Manage and stabilise a large enterprise Hadoop infrastructure
- Plan and execute a full Hadoop-to-cloud modernisation project
What to look for
- Production Hadoop cluster administration experience
- Knowledge of the Hadoop ecosystem (Hive, HBase, Pig, Oozie)
- Experience with cloud migration from Hadoop to modern platforms
Frequently asked questions
Is Hadoop still used in AI companies?
Yes, primarily in large enterprises with existing Hadoop infrastructure. Many companies also hire Hadoop engineers to lead migration projects to Spark, Databricks, or cloud-native data platforms.
Should I hire a Hadoop engineer or a Spark engineer?
If you have existing Hadoop infrastructure, a Hadoop engineer who knows Spark is ideal — they can manage the current system and plan the migration. For greenfield projects, Spark on Databricks or a cloud-native platform is almost always the better starting point.
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