Data Engineer

Summary

The job is for a Data Engineer at DAS42, a data consultancy firm that focuses on managing, accessing, and using data to solve complex business needs. The role involves working with various technologies and projects within a client, developing data models, supporting clients on optimizing their data environment, and collaborating with the sales and marketing teams.

Requirements

• 4-8 years of work experience in a data analytics or data engineering role
• Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL
• Must have previously worked within a consulting/professional services environment
• Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI)
• Ability to explain technical concepts to non-technical people
• Must have experience with data warehousing and using Snowflake
• Experience with the AWS, Google Cloud ecosystem (e.g. BigQuery, Redshift)
• 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

Responsibilities

• Develop system engineering, data integrations, and architectures based on client needs
• Implement and provide advice on 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

Preferred Qualifications

Worked with or for Media & Entertainment or Telecom companies (preferred)

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