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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain efficient, reusable, and reliable Python/Scala code for Big Data applications.
Develop high-performance, low-latency Spark cluster components and process large data sets using Hive, Impala, and HBASE to derive insights.
Translate application storyboards and use cases into functional applications while ensuring performance, quality, and responsiveness, including testing and transfer to operational teams.
Minimum Requirements
Strong experience with Python and/or Spark programming languages.
4+ years of relevant work experience in application development and big data technologies.
Experience with big data technologies including HDFS, MapReduce, YARN, Apache Spark, and Hive.
Proficient in UNIX/Linux environments, shell scripting, and database principles with SQL.
Ideal Candidate Profile
Demonstrates strong analytical and problem-solving skills with experience in application performance tuning and troubleshooting in Big Data domain.
Experience in designing scalable applications and understanding of system analysis, design, and architecture fundamentals within an SDLC environment.
Comfortable collaborating with global teams and proposing best practices and standards in application development using Big Data platforms.