Job Description

𝐉𝐨𝐛 πƒπžπ¬πœπ«π’π©π­π’π¨π§:
β€’ At least 6 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
β€’ Experience with Graphana, Prometheus, Splunk will be an added benefit
β€’ Quantexa exposure and/or certification a strong plus
β€’ Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
β€’ Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
β€’ Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
β€’ Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
β€’ Experience with jobs schedulers like Control-m

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