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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

3–6 yearsPUNEofficeDirect Career PageEst. 12–22 LPA

Posted 8h ago

Against your primary resume

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level Spark/Java/GCP role in Pune with common skills and 3–6 year band increases candidate competition.

Background Fit Sensitivity

(Low)

Spark, Java, and cloud data engineering skills are highly transferable across industries.

Shortlisting Strictness

(High)

Explicit 3–6 year band, mandatory Java/Spark and cloud experience will filter many applicants.

Structured overview of role & requirements

Lead migration from on-premises to OneTru GCP cloud portal for batch processing.

Develop and maintain a scalable, resilient batch processing platform handling enterprise-scale credit data.

Automate and standardize management of batch triggers and LFE configurations using AI to improve operational efficiency and time-to-market.

3 to 6 years of IT industry experience.

Minimum 3 years experience in Java and related technologies.

Minimum 2 years experience with Spark, Hadoop, and big data technologies.

Hands-on cloud experience required; GCP preferred over AWS or Azure; basic AI knowledge required.

Experienced in enterprise-scale batch processing and data-intensive credit domain environments.

Skilled in Java, Spark, Big Data, and cloud platform operations, preferably GCP.

Able to drive automation and operational improvements in hybrid cloud and data processing setups involving AI adoption.