Data Analyst

RedolentReston, VA
Onsite

About The Position

One of our direct client is urgently looking for Data Analyst @ Reston VA. This is a 6 to 12+ Months contract role. The Data Analyst will analyze, document, and design data objects, data quality rules, and data quality tests to be landed and executed. The role involves creating resilient, sustainable Data Object Designs and Data Quality Rules. The ideal candidate will be a product-oriented Data Analyst, creating and experimenting with new ideas that will engage and excite customers. Expertise in Kafka, Storm processing, Java, Data modelling and design is required. The ability to create dashboards leveraging information from a Data Lake (examples include Looker Dashboards using GCP) and develop alarms and metrics to monitor software running in the production environment is also necessary.

Requirements

  • Bachelor's degree in Computer Science or related technical field.
  • 3+ years experience in Data Design, Dimensional Modelling, Teradata, HiveQL, Hadoop HDFS, Confluence, Jira.
  • Strong understanding of data design techniques and principles.
  • Strong leadership and communication skills.
  • Must be able to work effectively both on teams as well as be self-motivated, task oriented and organized.
  • Strong customer focus and obsession with quality.
  • Ability to work in a fast-paced and agile development environment.

Nice To Haves

  • MS/PhD would be a strong plus.
  • Expertise in Kafka, Storm processing, Java, Data modelling and design.
  • Ability to create dashboards leveraging information from a Data Lake ( examples Looker Dashboards using GCP).

Responsibilities

  • Analyze, document and design data objects, data quality rules, and data quality tests to be landed and executed.
  • Create resilient, and sustainable and Data Object Designs and Data Quality Rules.
  • Be a product-oriented Data Analyst creating and experimenting with new ideas that will engage and excite our customers.
  • Develop Alarms and metrics to monitor software running in the production environment.
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