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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

RemoteremoteDirect Career PageEst. 5–9 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Remote work, a common data-engineer title, and broad stack (AWS/Python/Spark/Kafka) amplify applicant competition.

Background Fit Sensitivity

(Low)

Core data engineering skills (Python, SQL, ETL, cloud) are highly transferable across industries.

Shortlisting Strictness

(Moderate)

Several specific technologies listed (AWS, Python, Spark, Kafka) but no explicit years requirement.

Estimated fit based on your resume

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Structured overview of role & requirements

Develop and maintain scalable data pipelines and platforms supporting enterprise-wide analytics and decision-making.

Leverage AWS, Python, SQL, Spark, Kafka, and cloud-native architectures to solve complex data challenges.

Collaborate cross-functionally with product, analytics, and technology teams to deliver data-driven solutions.

Proficiency with AWS, Python, SQL, Spark, and Kafka required.

Work Experience Required: Not explicitly mentioned in the JD.

Degree requirements: Not explicitly mentioned in the JD.

Location, notice period, or regulatory constraints: Not explicitly mentioned in the JD.

Strong computer science fundamentals with emphasis on data engineering technologies and scalable architecture.

Experience working in modern cloud environments with data platforms and analytics.

Ability to solve complex data problems and collaborate across technical teams to build impactful solutions.