Careers

Cloud Data Engineering Consultant

The Cloud Data Engineer Consultant role is key to accomplishing Data Clymer’s mission: Enable every organization to build a culture around data. This exciting role allows you to become an expert in multiple cutting edge, cloud technologies for data & analytics systems (DW, BI, ETL). You will get experience implementing data improvements for various industries and use cases. This allows you to teach others to be self-sufficient and enables you to grow your skills while getting paid to do it.

The Cloud Data Engineer is motivated to work for a growing company where your day-to-day actions have an impact on how the company operates and the overall success of the company. Several key components of the role include: coding, adaptability, taking ownership, having strong self management skills, focused communication with internal and external teams, delivering on commitments, and being a team player who cares about their fellow team members succeeding as much as their own success.

Key areas include but not limited to:

  • People – Developing impactful relationships with the client and your co-workers
  • Projects – Executing on project SOW within scope, on-time, and on-budget
  • Profits – Ensuing Data Clymer’s revenue goals are obtained

What you do:

  • Contribute to Data Clymer to become the premier data consulting firm
  • Provide feedback to the management team to set policies on how Data Clymer operates
  • Interface and communicate with clients directly on a daily basis
  • Build trust with our customers and drive long-lasting relationships
  • Conduct technical discussions with client stakeholders
  • Follow Data Clymer’s design patterns and culture change methodology
  • Write clean, smart code that will scale
  • Design and implement analytical data models
  • Develop date pipelines (ETL) using Matillion, Fivetran, or DBT
  • Configure data warehouse accounts, roles, databases, and schemas 
  • Develop views, materialized views, and SQL scripts
  • Work with client teams to help create a data driven culture
  • Devise the best solution based on requirements and your experience
  • Audit data and investing issues through resolution
  • Gather and documenting requirements
  • Research and implement technical solutions for client projects
  • Develop analytics through BI tools using Looker, Tableau and Sigma

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