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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level metro data engineering role with common Spark/Hadoop skillset attracts many qualified applicants.
Core Spark/PySpark and Hadoop skills transfer across industries, though analytics domain experience is preferred.
Explicit 5+ years and mandatory Spark/Hadoop/PySpark and Python skills enforce strict technical filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable big data processing applications using Spark, Python, SQL, Hive, and Hadoop ecosystem components.
Deliver big data projects and maintain/tune existing Hadoop applications ensuring error-free and timely software delivery.
Collaborate with QA, Operations, and multiple teams, participating actively in agile/scrum processes.
Minimum Requirements
5+ years of software development experience with Hadoop framework components including HDFS, Spark, Sqoop, Hive, HQL, PySpark, and Scala.
5+ years of experience with Python, SQL, and shell scripting.
Bachelor's degree in Computer Science or related field.
Location requirement: Bangalore or Pune.
Ideal Candidate Profile
Strong expertise in Spark architecture, data frames, and application tuning for performance optimization.
Proven experience delivering big data projects in a process-oriented and analytical environment.
Effective collaboration within agile teams and cross-functional groups to deliver complex data engineering solutions.