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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

fiveSevenRemoteremoteDirect Career PageEst. 20–35 LPA

Posted 3h 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

(High)

Remote role, mid-level (5+) data engineer title, and generalist stack drive high candidate density.

Background Fit Sensitivity

(Moderate)

Core data engineering skills are broadly transferable though fintech domain experience is beneficial.

Shortlisting Strictness

(High)

Explicit five-year minimum plus mandatory SQL, Python, cloud and git increases filtering strictness.

Structured overview of role & requirements

Build and maintain large-scale data pipelines ensuring robust data processing.

Optimize data platform for performance, scalability, and cost efficiency.

Collaborate with cross-functional teams to meet data requirements and ensure data accuracy and model performance monitoring.

Minimum 5 years proven experience as a Data Engineer.

Advanced proficiency in SQL and proficiency in Python.

Experience with cloud platforms such as Google Cloud, AWS, or Azure.

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.

Experienced in handling scalable, high-volume data environments with a focus on pipeline robustness and platform optimization.

Capable of cross-team coordination to align data solutions with business needs and well-versed in version control tools like git.

Comfortable working with cloud infrastructure and interested in emerging technologies such as data governance and infrastructure as code.