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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

fiveSevenUNKNOWNofficeDirect Career PageEst. 12–22 LPA

Posted 5d ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level data engineer in Bangalore with common Hadoop/Spark skills increases applicant competition.

Background Fit Sensitivity

(Moderate)

Strong Hadoop/Spark experience needed makes cross-industry transfer moderately constrained.

Shortlisting Strictness

(High)

Explicit 5+ years and mandatory Hadoop/Spark/PySpark experience make filters stringent.

Estimated fit based on your resume

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Structured overview of role & requirements

Design, develop, and maintain scalable big data processing applications using Spark, Python, SQL, HQL, and Hive.

Optimize and tune existing Hadoop applications to improve performance and reliability.

Collaborate with QA, Operations, and cross-functional teams to deliver error-free software on schedule within an agile/scrum environment.

5+ years of software development experience with Hadoop ecosystem components including HDFS, Spark, Sqoop, Hive, HQL, PySpark, and Scala.

5+ years of experience in Python, SQL, and shell scripting.

Bachelor's degree in Computer Science or related field.

Location requirement: Bangalore or Pune (India).

Strong expertise in Spark architecture, data frame usage, and application tuning to drive efficient big data solutions.

Deep understanding of database concepts, systems architecture, and data structures applied to large-scale data processing.

Experience working in agile/scrum teams with focus on delivering high-quality, scalable software products.