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Generic senior software title, mid-level 5+ years requirement, and metro Bangalore location increase applicant competition.
Big-data engineering skills (Spark, Hadoop, Python) are broadly transferable across industries.
Mandatory 5+ years plus specific Hadoop/Spark/PySpark/Scala stack makes shortlist filters highly strict.
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Design, develop, and maintain highly scalable big data processing applications using Spark, Hadoop, Python, SQL, and Hive.
Deliver big data projects on time with error-free software in an agile/scrum environment.
Maintain and tune existing Hadoop and Spark applications for performance improvements.
5+ years of software development experience with Hadoop ecosystem components (HDFS, Spark, Sqoop, Hive, HQL, PySpark, 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.
Strong technical expertise in Spark architecture, data frames, and application tuning indicating deep specialization in big data processing.
Experienced in cross-team collaboration (QA, Operations) within agile environments, implying high operational accountability and delivery focus.
Process-oriented with strong analytical and problem solving skills suited for large scale data engineering challenges.