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Mid-level metro role with specific big-data skills yields moderate applicant competition.
Spark/Hadoop/Python data engineering skills are moderately transferable across industries.
Mandatory 5+ years plus explicit Hadoop/Spark/PySpark tech requirements make shortlisting strict.
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Design, develop, and maintain highly scalable data processing applications primarily using Hadoop ecosystem including Spark, Hive, and related technologies.
Deliver big data projects with efficiency and code quality, including writing reusable and well-documented code.
Collaborate with QA, Operations, and cross-functional teams to ensure error-free, timely software delivery and participate actively in agile scrum processes.
5+ years of software development experience with Hadoop framework components: HDFS, Spark, Sqoop, Hive, HQL, PySpark, Scala.
5+ years experience in Python, SQL, and shell scripting.
Bachelor's degree in Computer Science or related field.
Location: Bangalore or Pune.
Deep expertise in Spark architecture, data frames, and performance tuning of Spark applications.
Strong understanding of database concepts, systems architecture, and data structures to optimize big data processing.
Experience working in agile environments with cross-functional teams to deliver scalable big data solutions.