Data Engineer Consultant - Remote

Overview

DAS42 is a data consultancy that brings clarity and a modern point of view to managing, accessing, and using data to solve our client’s most urgent business needs. We see our clients and the complex data issues they face and apply customized strategies to reach their goals. Our deeply knowledgeable team can engage end-to-end across all layers of our client’s data ecosystem, giving them greater efficiency, scale, and flexibility to transform their organization for long-term success.

In Short

• Implement data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
• Develop data models around stated use cases to capture clients' KPIs, data transformations, and data requirements; validation and testing of data models.
• Support, maintain, and document clients’ data environments.
• Contribute to and collaborate on project deliverables, either independently or as part of a larger consulting team.
• Work within a project management framework (i.e., Agile) to meet objectives, understand scope, and impact of your work across an organization.
• Guide clients on optimizing their data environment to operate most effectively and efficiently for them. Clarify management objectives through data solutions.
• Work with the Sales and Marketing teams to develop Thought Leadership and workable POCs and support our sellers by talking to clients about DAS42’s go-to-market capabilities.

Requirements

• 1-3 years of work experience in a data analytics or data engineering role.
• Advanced proficiency with Python and SQL.
• Previously worked within a consulting/professional services environment (preferred).
• Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
• Ability to explain technical concepts to non-technical people.
• Experience with data warehousing and using Snowflake.
• Experience with the AWS or Google Cloud ecosystem (e.g. BigQuery, Redshift).
• Worked with or for Media & Entertainment or Telecom companies (preferred).
• Bachelor's or Master’s degree in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).
• A passion for exploring and solving different kinds of problems while learning and assimilating technical information quickly.

Benefits

• Market driven and transparent compensation.
• Health and wellbeing benefits and policies.
• Organizational commitment to continual development.
• Impactful and meaningful experiences.
• Culture of ownership and autonomy.