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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

6–8 yearsOn-siteDirect Career PageEst. 30–55 LPA

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

(High)

Background Fit Sensitivity

(Moderate)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Collaborate with stakeholders to design scalable, secure data architecture and access layers for complex data solutions.

Engineer high-performance automated ETL/ELT pipelines and advanced data visualization for business intelligence.

Own end-to-end data orchestration, including incident automation, system health monitoring, performance tuning, and compliance enforcement.

6-8 years of experience building and maintaining enterprise-level data applications.

Bachelor's degree or equivalent practical experience.

Proficiency in Python, SQL, Google Cloud Platform (GCP), and business intelligence tools (Lookerstudio, Data Studio, Tableau, or PowerBI).

Exceptional detail orientation and ability to follow detailed workflows independently.

Experienced in designing end-to-end data infrastructure with a strategic, scalable, and operational mindset.

Skilled in advanced data pipeline engineering and automation for reliability and performance.

Comfortable working independently to diagnose and resolve complex data system issues and managing stakeholder interactions.