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AWS Data Bricks Spark/Scala Engineer

austin, tx • Posted 3 days ago
Remote Full Time IT & Technology

Job Title: AWS Data Bricks Spark/Scala Engineer

Job ID:

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

Job Travel Location(s):

# Positions: 1

Employment Type: W2

Candidate Constraints:

Duration: Long Term

# of Layers: 0

Work Eligibility: All Work Authorizations are Permitted

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:

  • 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 on Hadoop architecture and its components. Troubleshooting the Hadoop Yarn jobs is must. Implement 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, Spark MLib.
  • Strong experience in writing complex and effective SQLs, and Stored Procedures. Strong query optimizations skills to improve performance of ETL process.
  • Should have strong hands-on cloud experience with AWS suite
  • Should be able to demonstrate work experience in Hadoop, Spark, hive
  • Should have strong development experience on Databricks components
  • Strong hands-on experience on Spark is must
  • Must have work experience on Hadoop as data warehouse/Data Lake implementations
  • Moderate to senior Terraform development experience needed
  • Health care domain knowledge is a plus

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