• At least 6 years of experience as a Data Engineer, working with Hadoop,

Spark, and data processing technologies in large-scale environments

• Experience with Graphana, Prometheus, Splunk will be an added benefit

• Quantexa exposure and/or certification is must

• Strong expertise in designing and developing data infrastructure using

Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

• Experience with containerization platforms such as OpenShift Container

Platform (OCP) and container orchestration using Kubernetes

• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure

automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

• Experience with jobs schedulers like Control-m

Data Engineer