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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

4–6 yearsDirect Career PageEst. 10–18 LPA

Posted 1d ago

Against your primary resume

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Low)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Develop and maintain scalable data pipelines using Apache Spark and PySpark.

Implement data manipulation and error handling solutions in Python within data platforms.

Optimize distributed computing processes and ensure data model integrity for structured and semi-structured data.

4 to 6 years of experience in data engineering or software development.

Strong hands-on experience with Apache Spark and PySpark.

Proficiency in Python programming focusing on data manipulation and packaging.

Proficient in SQL and data modeling for structured and semi-structured data.

Experienced in optimizing distributed computing environments and performance tuning.

Familiar with version control (Git), CI/CD pipelines, and Agile development workflows.

Strong analytical and debugging skills suited to complex data engineering challenges.