Data Engineer (Java/Scala)

United States - Remote

Full-time, Remote - Location Requirement: MUST be located in the Eastern Time Zone
Available for W-2 or 1099 Individual. 


Our client, one of the largest Amazon Web Services (AWS) partners for data services, is looking for a true Mid level Big Data Engineer to contribute to join their team of technologists to build and contribute to large-scale, innovative projects. Technological and career growth opportunities are a natural and every day part of the working environment.

Responsibilities:

  • Analyze system requirements and design responsive algorithms and solutions.
  • Use big data and cloud technologies to produce production quality code.
  • Engage in performance tuning and scalability engineering.
  • Work with team, peers and management to identify objectives and set priorities.
  • Perform related SDLC engineering activities like sprint planning and estimation.
  • Work effectively in small agile teams.
  • Provide creative solutions to problems.
  • Identify opportunities for improvement and execute.

Requirements:

  • Minimum 4 years of proven professional experience working in the IT industry.
  • Bachelor's in Computer Science or related domain.
  • Experience with cloud based Big Data technologies.
  • Experience with big data technologies like HadoopSpark and Hive.
  • AWS experience (S3 and EMR).
  • Proficiency in Hive / Spark SQL / SQL. Experience with Spark.
  • Experience with one or more programming languages like Java & Scala.
  • Ability to push the frontier of technology and independently pursue better alternatives.

Thanks for applying!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Big Data Computer Science Engineering Hadoop Java Scala SDLC Spark SQL

Regions: Remote/Anywhere North America
Country: United States
Job stats:  6  0  0
Category: Engineering Jobs

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