Cloud Architect (Data Lake/Data Bricks) SME

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Databricks
Datalake
azure
spark
pyhon
Machine Learning
Natural Language Processing
Tableau

Job Details

Basic Qualifications:

  • Strong skills and experience in regards to Cloud Operations support in Azure.
  • Strong Experience supporting large scale/enterprise level Cloud environments.
  • Strong Experience supporting several cloud services related to compute, network, databases, etc
  • Experience in using Databricks or other Spark-based platforms.
  • Knowledge of or experience in using any of the following: Sqoop, Oozie, Flume
  • Fluency in at least one scripting language (Python, Perl, Ruby or equivalent)
  • Ability to troubleshoot cloud resource problems and perform complex system tests.
  • Develop and maintain accurate documentation for internal procedures and services.
  • Ability to automate solutions to repetitive problems/tasks.
  • Ability to use a wide variety of open-source technologies and cloud services.
  • Integration of Git, in continuous deployment
  • Experience with DevOps monitoring tools
  • Knowledge of best practices and IT operations in an always-up, always-available service
  • Creative thinking skills
  • Detail-oriented personality
  • Ability to communicate well to other members of the development team.
  • Significant experience with SAS, Python, C++, Hadoop, SQL Database/Coding, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau
  • Demonstrated experience working with unstructured data.

Required Skills:

  • Strong understanding of cloud networking at scale
  • Ability to break down complex networking concepts and present them in a concise way.
  • Shell scripting experience
  • PowerShell

Data Transfer:

The selected resource will be required to conduct knowledge-transfer sessions as necessary to share best practices and template code/scripts in each of the following areas:

  • Monitoring (Infrastructure and Application-specific)
  • Troubleshooting
  • Incident Alerting
  • Incident Avoidance
  • Development of dashboards
  • Settings and configuration
  • Security
  • How to test the platform and/or application(s)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.