Big Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills required include Big Data, Python, Java, Scala, SQL, and experience in AI/Machine Learning and NLP development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#Classification #Cloudera #Unsupervised Learning #AI (Artificial Intelligence) #Hadoop #Data Pipeline #Flask #HBase #Reinforcement Learning #Programming #Sqoop (Apache Sqoop) #GitLab #Kafka (Apache Kafka) #Jenkins #NLP (Natural Language Processing) #Pandas #Supervised Learning #Cloud #Python #Impala #NumPy #Data Engineering #Django #Clustering #Spark (Apache Spark) #Scala #SQL (Structured Query Language) #RDBMS (Relational Database Management System) #Linux #Data Science #REST (Representational State Transfer) #Big Data #Spark SQL #Java #REST API #API (Application Programming Interface) #ML (Machine Learning) #Regression #Jira #Unix #Jupyter
Role description
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• Strong experience in Big Data, Cloudera Distribution 7.x, RDBMS
• 4-5 years of programming experience in Python, Java, Scala and SQL is must.
• Strong experience building data pipelines using Hadoop components Sqoop, Hive, SOLR, MR, Impala, Spark, Spark SQL., HBase.
• Strong experience with REST API development using Python frameworks (Django, Flask, Fast API etc.) and Java Springboot frameworks
• Micro Services/Web service development experience using Spring framework
• Experience with Dask, Numpy, Pandas, Scikit-Learn
• Proficient in Machine Learning Algorithms: Supervised Learning (Regression, Classification, SVM, Decision Trees etc.), Unsupervised Learning (Clustering) and Reinforcement Learning
• Strong experience working in Real-Time analytics like Spark/Kafka/Storm
• Experience with Gitlab, Jenkins, JIRA
• Expertise in Unix/Linux environment in writing scripts and schedule/execute jobs.
• Strong Experience with Data Science Notebooks like Jupyter, Zeppelin, RStudio. PyCharm etc
Project experience in AI/Machine Learning and NLP development is required
