Data Engineer

BeyondTrust Corporation
Johns Creek, GA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Software as a Service Cloud Computing Program Optimization Information Systems Databases Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Database Development Amazon DynamoDB
+15 more
Ganglia (Software) Apache Hadoop Apache Hive Python (Programming Language) Log4j Datadog Apache Yarn Snowflake Apache Spark AWS Lambda Data Lakes Core Data Presto Cloudwatch Serverless Computing

Job description

Data Engineers at BeyondTrust are the backbone of the company’s core data infrastructure that powers all analytics products running on our SaaS platform. Leverage AWS expertise to manage a wide array of cloud compute services like AWS Lambda as well as managing database solutions like AWS DynamoDB and AWS Neptune in order to compute results quickly. Extensive Datadog and AWS Cloudwatch monitoring to ensure that all aspects of infrastructure stays running as expected and niche data governance methods are applied to ensure that data outcomes remain consistent. Perform data modelling and database structuring. Create highly scalable and efficient ETL pipelines to populate our advanced data lake. Position is a fixed location based in Johns Creek office; however, telecommuting from a home office may also be allowed.

Requirements

Requires a Master’s degree (or foreign equivalent) in Information Systems or a directly related field plus four (4) years of experience in a Data Engineering role. Experience must include:

Four (4) years of experience in the following (experience may be gained concurrently):

  • Petabyte-sized Data Lakes
  • Deep AWS experience building end-to-end data applications
  • Spark experience (RDDs, DataFrames, low-level optimizations)
  • Spark optimization tools (Ganglia, Log4J, Spark UI)
  • Data warehousing
  • Data modeling experience
  • SQL development
  • Python

Three (3) years of experience in the following (experience may be gained concurrently):

  • Snowflake experience
  • AWS Athena serverless data warehousing

One (1) year of experience in the following (experience may be gained concurrently):

  • Hadoop ecosystem
  • Hive and Presto
  • YARN resource management

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