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Hire Vetted 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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Hadoop Administrator Big Data Platform Engineer Data Lake Architect Cloud Migration Specialist HDFS Data Engineer
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Konstantinos

Konstantinos

Junior
Greece — Athens (UTC+3) Full-time
Engineering AI & Machine Learning Engineers
python r hadoop statistics reinforcement learning +1
Open profile
Akmal

Akmal

Mid-Level
Indonesia — Jakarta (UTC+7) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
python tensorflow pytorch computer vision llm fine-tuning +5
Open profile
Akshay

Akshay

Mid-Level
India — Kolkata (UTC+5.5) Full-time
data science & analytics AI & Machine Learning Engineers
python spark sql azure aws +4
Open profile
Ammar Hussein

Ammar Hussein

Mid-level
Freelance
NLP & Prompt Engineering AI Business, Marketing & Strategy
chatgpt mistral reinforcement learning hadoop sql +4
Open profile
Morris Munene Maina

Morris Munene Maina

Mid-level
Full Time, Contract
Big Data generative ai
python sql postgresql hadoop excel +4
Open profile
B

Bhaskar Reddy Pailla

Executive-level
Full Time
ai jobs data science
predictive analytics feature engineering llm retrieval-augmented generation pyspark +5
Open profile
P

Poshita Singh

Mid-level
Freelance, Full Time
data science Analyst
python mysql hadoop gen ai deep learning
Open profile
N

Navya Sri

Mid-level
Full Time
Data Engineering & Big Data
hadoop databricks pytorch python sql +5
Open profile
S

Syed Atif

Mid-level
Full Time
AI & Machine Learning Engineers
python scikit-learn hadoop tableau numpy +5
Open profile
S

Sudhakar Kondeti

Mid-level
Full Time
Data Engineering & Big Data data science & analytics
etl pipelines spark sql hadoop databricks +3
Open profile

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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Spark ETL Databricks SQL Python

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