AWS Data Bricks Spark/Scala Engineer

Company:  Highbrow LLC
Location: St. Louis
Closing Date: 04/11/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job Title: AWS Data Bricks Spark/Scala Engineer

Job ID: 2023-11933

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

Employment Type: W2

Duration: Long Term

Work Eligibility: All Work Authorizations are Permitted

Key Technology: DataBricks, AWS, Spark

Job Responsibilities:

  • Drive the mentality of building well-architected applications for AWS Cloud.
  • Promote quality ownership across the entire team.
  • Identify code defects and collaborate with developers to address quality issues in product code.
  • Find bottlenecks and thresholds in existing code using automation tools.
  • Articulate clear business objectives aligned with technical specifications and work in an iterative agile pattern daily.
  • Take ownership of tasks and engage with all team levels, raising challenges when necessary.

Skills and Experience Required:

  • 6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration).
  • In-depth knowledge of Hadoop architecture and its components, with the ability to troubleshoot Hadoop Yarn jobs. Experience in implementing Hadoop job orchestration using Shell scripting and Airflow.
  • In-depth understanding of Spark Architecture, including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, and Spark MLib.
  • Strong experience in writing complex and effective SQLs and Stored Procedures, with query optimization skills to improve ETL performance.
  • Hands-on cloud experience with the AWS suite.
  • Demonstrated work experience in Hadoop, Spark, and Hive.
  • Strong development experience on Databricks components.
  • Significant hands-on experience with Spark.
  • Experience with Hadoop as a data warehouse/Data Lake implementation.
  • Moderate to senior Terraform development experience.
  • Health care domain knowledge is a plus.
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