Remote Data Engineer Consultant

Summary

Join DAS42 as a Data Engineer Consultant and be a key member of our consulting staff responsible for maintaining high delivery standards across an engagement team.

Requirements

• 3-7 years of work experience in a data analytics or data engineering role
• Advanced proficiency with a Python and SQL
• Previously worked within a consulting/professional services environment (highly 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, 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)

Responsibilities

• Develop system engineering, data integrations, based on client needs
• Implement data warehouse solutions, ETL pipelines, and business intelligence reporting tools
• Develop data models around stated use cases to capture client’s 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

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