Careers

Looker (LookML) Engineering Consultant

Data Clymer has an immediate opening for an full time Looker Engineering Consultant. We will provide training on any specific tools with which you may not yet be familiar (we typically implement data stacks using Looker, Matillion, and all of the major cloud data warehouses - Snowflake, Redshift, BigQuery, Azure Synapse). If you are currently a data analyst with strong technical skills, we want to hear from you. This is a remote position - you will work from your home office.

Responsibilities include but are not limited to:

  • If not already, obtain Looker Developer certification.
  • Obtain Looker Partner Delivery certification (under Data Clymer).
  • Writing SQL for both data engineering and analytics purposes
  • Data Modeling
  • Looker development: coding LookML, SQL, setting up Explores, Reports, and Dashboards
  • Holding training for both end users and LookML developers
  • General data wrangling using languages like SQL, python, etc.
  • Follow Data Clymer’s design patterns and cultural change methodology
  • Working with client teams to help create a data-driven culture
  • Gathering and documenting requirements
  • Devising the best solutions based on requirements and your experience
  • Auditing data and investigating issues
  • Performing data analysis to answer key business questions
  • Willingness to get hands dirty and find solutions
  • Excellent communication
  • Excellent self-management (time, milestones, deadlines, etc.)

Experience required:

  • Bachelor’s Degree
  • Degree in Computer Science, Math, Statistics, post-college data boot camp certificate, or 2 years equivalent work experience in data or analytics
  • Proficiency with SQL (there is a test)

Ideal Experience:

  • Data Analytics
  • Business Intelligence tool implementation (Looker, Tableau, etc.)
  • Data visualization best practices
  • Dashboard and report design
  • ETL Development (DBT or Matillion preferred)
  • Data Engineering
  • Data Warehousing (Snowflake, Redshift, Big Query, Azure preferred)
  • Data Science / Machine Learning concepts
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