DevOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Engineer with 7+ years of experience, including 3 years in big data platforms. Contract length and pay rate are unspecified. Key skills include Python, Kubernetes, Docker, and experience with Apache Spark and MLOps practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 28, 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
Florida, United States
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🧠 - Skills detailed
#Bash #Scripting #Automation #Docker #Kafka (Apache Kafka) #HDFS (Hadoop Distributed File System) #Data Processing #Python #Monitoring #Airflow #Kubernetes #DevOps #Data Engineering #Kudu #YARN (Yet Another Resource Negotiator) #HBase #Scala #Spark (Apache Spark) #Apache Spark #Impala #Cloud #Hadoop #dbt (data build tool)
Role description
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• Over 7+ Years of experience in DevOps/SRE function, with at least 3 years emphasizing bigdata platforms, data engineering, and cloud infrastructure services.
• Strong experience with scripting languages for automation, such as Python, Bash, Go and monitoring automation.
• Experienced with designing, building, and maintaining scalable and robust cloud infrastructure using Kubernetes and Docker for containerization and orchestration.
• Knowledge of MLOps platforms and practices
• Hands-on experience with data processing tools like Apache Spark, dbt, Kafka, and Airflow.
• Strong knowledge of Hadoop components, including Spark Streaming, HDFS, HBase, YARN, Hive, Impala, Atlas, and Kudu.
