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Tier-1 brand and metro location with moderately specialized big-data skillset drive medium competition.
Specialized big-data platform and cloud skills limit cross-industry portability somewhat.
Requires specific big-data, Cloudera/Spark, Scala/Python skills and platform experience, enforcing strict technical filters.
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Design, develop, and maintain large scale backend services and data pipelines using Scala, Python, Java on Cloudera Data Platform with Spark for batch and streaming workloads.
Build and integrate AI powered agents for anomaly detection, operational intelligence, and intelligent automation to reduce manual effort and improve scalability.
Support cloud-based architectures primarily in AWS and Databricks, ensuring stable and performant data systems powering analytics and decisioning workflows.
Degree: BS/BA in Computer Science, Engineering, Information Systems, or related field.
Technical Skills: Hands-on experience with Scala, Python or Java in backend/data-intensive systems; experience with Cloudera Data Platform and Spark; familiarity with Cloudera Manager for cluster administration.
Experience with large scale distributed data systems, data modeling, and processing of massive transactional datasets.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced backend or data platform engineer with strong expertise in Scala/Python/Java and Cloudera Spark ecosystems.
Skilled in designing and operationalizing AI-driven agents and intelligent automation to support data workflows at scale.
Comfortable working in cloud-based environments (AWS, Databricks) and integrating on-prem and hybrid cloud architectures in enterprise settings.