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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

CHENNAIofficeDirect Career PageEst. 8–18 LPA

Posted 7h ago

Against your primary resume

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Role Fit

Experience

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level, metro Big Data role with broad Java/Spark/AWS requirements increases applicant competition.

Background Fit Sensitivity

(Low)

Core Java, Spark and AWS data engineering skills transfer easily across industries.

Shortlisting Strictness

(Moderate)

Mandatory hands-on Java, Spark and AWS stack creates moderately strict technical filtering.

Structured overview of role & requirements

Design, develop, and deploy scalable, reliable big data processing solutions on AWS using Java and Apache Spark.

Implement big data pipelines on AWS EMR and deploy serverless applications using AWS Lambda integrated with other AWS services.

Manage container orchestration with Amazon EKS and design workflow orchestration for complex data pipelines using Apache Airflow.

Experience in Java development, Apache Spark, and AWS services including EMR, Lambda, EKS, and Airflow.

Work Experience Required: Not explicitly mentioned in the JD.

Must be willing to work in Chennai location.

No explicit mention of educational qualifications or notice period.

Experienced with end-to-end big data pipeline design and deployment on cloud, particularly AWS ecosystem.

Strong Java developer with proven skills in distributed data processing using Apache Spark.

Able to handle container orchestration and workflow management for complex data environments.