Data Engineer

Gravity IT Resources

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Position Title: Data Engineer
Location: Remote
Job Type: Direct Hire
Employment Status: US Citizen or Green Card Holder

 

ROLE AND RESPONSIBILITIES

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Snowflake/Azure ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

 

 

 

  • Work with stakeholders including the Executive, Operations, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and SQL/Cloud regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

MINIMUM POSITION QUALIFICATIONS/EDUCATION

  • Excellent management skills and the ability to work with team members to develop and manage an action plan
  • Takes ownership of needed task either through direction or initiative.
  • Demonstrated excellence in communicating and presenting complex information to technical and non-technical stakeholders, both verbally and in written form
  • Quickly communicates issues that will affect deliverables and timelines.
  • Self-starter and able to work independently with minimal supervision

PREFERRED QUALIFICATIONS/EDUCATION

  • Bachelor’s degree in a relevant field, such as Information Technology, Business Technology, or Engineering.
  • Minimum of 10+ years of relevant Data Engineer experience

 

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