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Strong employer brand plus visible generalist title and metro hiring imply medium competition density.
Specialized big-data platform and cloud skills moderately limit cross-industry transferability.
Multiple mandatory platform and language skills plus a Lead seniority raise shortlisting strictness to high.
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Design, develop, and maintain backend data services and pipelines using Scala, Python, Java, Spark on Cloudera Data Platform and cloud (AWS/Databricks).
Build and integrate AI powered agents for anomaly detection and operational automation to enhance scalability and reduce manual effort.
Support cloud-native and hybrid data architectures, enable reliable backend data interfaces for analytics and business teams, and ensure platform stability.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Hands-on experience with Scala, Python, or Java in backend or data intensive systems.
Experience with Cloudera Data Platform (CDP) and Spark, including Cloudera Manager for cluster administration and monitoring.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building large scale data and backend systems within enterprise environments using distributed data platforms and cloud services (AWS, Databricks).
Has practical skills in AI driven agent development or intelligent automation applied to backend data workflows.
Comfortable operating in Agile/Scrum teams and mentoring others on backend engineering, big data, and AI automation technologies.