Data Engineer

Summary

Join DAS42 as a Data Engineer Consultant and become a key member of our consulting staff, responsible for maintaining high delivery standards. You will implement data warehouse solutions, develop data models, support clients' data environments, and collaborate on project deliverables. This role offers the opportunity to work with various technologies and projects, contribute to pre-sales, and solve complex technical problems. The ideal candidate enjoys learning new skills and working in a collaborative environment. DAS42 offers a competitive salary and a comprehensive benefits package.

Requirements

• 1-3 years of work experience in a data analytics or data engineering role
• Advanced proficiency with Python and SQL
• 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)

Responsibilities

• 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

Preferred Qualifications

• Previously worked within a consulting/professional services environment
• Worked with or for Media & Entertainment or Telecom companies
• 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)
• 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