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Data Engineer Lead - Scala Spark

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Job Role Data Engineer Lead - Scala Spark

Location - Broadway,, NY - Onsite

Mandatory Skills:

Big Data, Scala, Spark, Core Java

BigData - 7+

Scala - 8+

Spark - 7+

Core Java - 5+

Experience:10+ years

Key Responsibilities:

  • Develop and maintain data processing applications using Spark and Scala.
  • Collaborate with cross-functional teams to understand data requirements and design efficient solutions.
  • Implement test-driven deployment practices to enhance the reliability of application.
  • Deploy artifacts from lower to higher environment ensuring smooth transition
  • Troubleshoot and debug Spark performance issues to ensure optimal data processing.
  • Work in an agile environment, contributing to sprint planning, development and delivering high quality solutions on time
  • Provide essential support for production batches, addressing issues and providing fix to meet critical business needs

Skills/Competencies:

  • Strong knowledge of Scala programming language
  • Excellent problem-solving and analytical skills.
  • Proficiency in Spark, including the development and optimization of Spark applications.
  • Ability to troubleshoot and debug performance issues in Spark.
  • Understanding of design patterns and data structure for efficient data processing
  • Familiarity with database concepts and SQL * Java and Snowflake (Good to have).
  • Experience with test-driven deployment practices (Good to have).
  • Familiarity with Python (Good to have).
  • Knowledge of Databricks (Good to have).
  • Understanding of DevOps practices (Good to have).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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