AWS Data Bricks Spark/Scala Engineer

Company:  Highbrow LLC
Location: Morris Plains
Closing Date: 07/11/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job Title : AWS Data Bricks Spark/Scala Engineer

Job ID: 2022-11861

Job Location: Remote, Memphis, TN (preferred), Morris Plains, NJ, Austin, TX (preferred), St. Louis, MO

Job Travel Location(s):

# Positions: 2

Employment Type: W2

Candidate Constraints:

Duration: Long Term

# of Layers: 0

Work Eligibility: US Permanent Eligibility to Work Required

Key Technology: DataBricks, AWS, Spark

Job Responsibilities:

  • Drive mentality of building well architected applications for AWS Cloud
  • Drive the mentality of quality being owned by the entire team
  • Identify code defects and work with developers to address quality issues in product code.
  • Finding bottlenecks and thresholds in existing code through the use of automation tools.
  • Articulate clear business objectives aligned to technical specifications and work in an iterative agile pattern daily.
  • Ownership over your work task and are comfortable interacting with all levels of the team and raise challenges when necessary.

Skills and Experience Required:

  • 10 years of relevant experience in AWS Data Bricks Spark/Scala Engineer/Architect
  • Data Bricks Architect profile with AWS combination.
  • Data Management, Solutioning, Data Engineering and ETL proficiency using Data Bricks tool/framework which includes programming with Spark/Scala
  • Data Management, Migration experience from other platforms to AWS

Required:

  • 10+ years of experience in architecture, design, implementation, and analytics solutions
  • Hands on development Design and Develop applications using Databricks
  • Experience with Solutioning on AWS
  • Data Migration experience from other platforms to AWS
  • In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.

Desired:

  • Any programming language experience with SQL, Stored procedures, Spark/Scala.
  • Strong understanding of Data Modeling and defining conceptual logical and physical data models.
  • Ability to design and demonstrate system Architecture with different environments
  • Ability to deal with both On-Premises and Cloud systems
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