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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

Direct Career PageEst. 12–20 LPA

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)

Background Fit Sensitivity

(Low)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Ingest data from multiple sources into Data Lake using Java-based tools like Apache Spark and Spring Batch.

Write data transformation logic with Spark (Java API) and store processed data in HDFS or cloud storage (AWS S3, GCP Storage).

Develop and modernize ETL code and workflows for batch and real-time data processing.

5+ years work experience in data engineering roles.

Proficient in Java, Spark (Java API), and SQL query writing.

Experience with Java frameworks for data processing and integration such as Spring, Apache Spark, and JDBC.

Educational qualification: BE/BTech degree.

Experienced in building and maintaining modern ETL pipelines integrating multiple data sources.

Knowledgeable in data warehousing concepts and data modeling techniques like star schema.

Able to write stored procedures for relational databases and work with batch and real-time data workflows.