Description

Responsibilities

  • Conduct POCs (proof of concept) and pilots to try new solutions and provide summary of results.
  • Participate in detailed technical design, development, implementation and support of Big Data applications.
  • Maintain standards compliance and ensure development artifacts are in alignment with patterns/ frameworks designed by software engineering teams.

Required Skills

  • Familiarity with Spark programming paradigms (batch and stream-processing). Understanding of different data abstraction objects used in spark for different use cases, use of optimal data format and other optimization techniques.
  • Strong programming skills in at least one of the following languages: Java, Scala.
  • Familiarity with a scripting language like Python as well as Unix/Linux shells.
  • Strong knowledge of writing optimized Spark and Hive sql and experience to tune poor performing queries.
  • Outstanding programming and debugging skills. Strong knowledge of common algorithms and data structures.
  • Familiarity with one or more stream processing / queuing technologies like Spark Streaming, Kafka, Kinesis, Flink, etc. preferred.
  • Familiarity and prior experience with Agile / Scrum development methodologies.

Required Experience

  • Experience with Java and/or Scala, preferably with Spring framework. 3+ years preferred.
  • Strong experience with SQL and relational databases like PostgreSQL, MySQL, SQL Server or Oracle.
  • Prior Experience deploying to cloud platforms, preferably Pivotal Cloud Foundry or Cloud Foundry.
  • Prior experience in Continuous Integration/Continuous Delivery tools and pipelines such as Jenkins, Maven, Gradle, etc.

Education Requirements

  • Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.


 

Key Skills
Education

Any Graduate

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