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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

fiveSevenofficeDirect Career PageEst. 12–20 LPA

Posted 13h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level, generalist Data Engineer with Spark/Java and broad required skills drives high applicant competition.

Background Fit Sensitivity

(Low)

Java, Spark, and ETL skills are readily transferable across industries, so background sensitivity is low.

Shortlisting Strictness

(High)

Mandatory Spark/Java, SQL, ETL, and explicit 5+ years experience make shortlisting highly strict.

Estimated fit based on your resume

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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.