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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

officeDirect Career PageEst. 18–30 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Strong employer brand and popular Spark data role increase competition, while non-metro location tempers it.

Background Fit Sensitivity

(Low)

Data engineering and Spark skills are broadly transferable across industries, so background sensitivity is low.

Shortlisting Strictness

(Moderate)

Mandatory Spark/Scala/Python expertise and leadership expectations create moderate technical and managerial filters.

Estimated fit based on your resume

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Structured overview of role & requirements

Lead a development team to design, implement, and maintain data processing applications using Apache Spark, Scala, and Python.

Oversee technical design, development, and deployment of scalable data solutions.

Collaborate with cross-functional teams to gather requirements and troubleshoot data processing issues.

Proficiency in Apache Spark, Scala, and Python programming languages.

Experience in leading and mentoring technical teams.

Strong understanding of data processing concepts and distributed computing.

Work Experience Required: Not explicitly mentioned in the JD.

Experienced in managing and guiding technical teams in fast-paced environments.

Technically hands-on with deep knowledge of Apache Spark, Scala, and Python technologies.

Comfortable collaborating across teams for requirement analysis and solution deployment.