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Highbrow LLC

AWS Data Bricks Spark/Scala Engineer

Highbrow LLC, Saint Louis, Missouri, United States, 63146


Job Title : AWS Data Bricks Spark/Scala EngineerJob 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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