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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

4–7 yearsofficeDirect Career PageEst. 12–20 LPA

Posted 1d ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Mid-level, popular Big Data role with common Java/GCP skills attracts many applicants.

Background Fit Sensitivity

(Low)

Low — platform-focused Big Data and GCP skills transfer easily across industries.

Shortlisting Strictness

(High)

High — explicit 4–7 years and mandatory Java, Hadoop, Spark, and GCP stack.

Structured overview of role & requirements

Develop and maintain Big Data solutions using Java and Google Cloud Platform (GCP) services.

Implement data processing pipelines leveraging technologies like Hadoop, Spark, Hive, and GCP tools such as BigQuery and Dataflow.

Ensure operational performance and scalability of large-scale data systems within Cloud environments.

4 to 7 years of professional experience in Big Data engineering.

Strong programming skills in Core Java, Java 8, and Spring Boot.

Hands-on experience with Big Data technologies including Hadoop, Spark (Core & SQL), Hive, MapReduce, and PySpark.

Proficiency with GCP components such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage (GCS).

Experienced in architecting and managing end-to-end Big Data pipelines on Cloud platforms, specifically GCP.

Capable of integrating Java applications with distributed data processing frameworks for scalable analytics.

Skilled in optimizing performance of data processing jobs and cloud resource management.