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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

6–9 yearsBENGALURUofficeDirect Career PageEst. 20–32 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier-1 brand, metro location, popular mid-level data-engineer role increasing candidate competition.

Background Fit Sensitivity

(Low)

Core PySpark, Kafka, and SQL skills are broadly transferable across industries.

Shortlisting Strictness

(High)

Explicit 6–9 years, senior title, and mandatory PySpark/Kafka/Python skills make filtering strict.

Estimated fit based on your resume

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Structured overview of role & requirements

Develop and maintain Python code and PySpark jobs for large-scale data processing.

Build and manage real-time data streaming pipelines using Apache Kafka, including Kafka Connect and Streams.

Work with Hadoop ecosystem tools and apply data warehousing concepts to optimize data architecture.

6 to 9 years of relevant work experience.

Proficient in Python, PySpark, Apache Kafka (including Kafka Connect and Kafka Streams).

Experience with Hadoop ecosystem (HDFS, YARN, Hive) and SQL databases (PostgreSQL, SQL Server).

B.Tech or M.Tech degree.

Experienced with end-to-end data pipeline development and real-time streaming solutions in complex environments.

Strong understanding of data warehousing and dimensional modeling for data architecture optimization.

Capability to handle large-scale datasets with performance-focused coding and collaboration using Git.