Associate Data Engineer (Consultant)

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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).

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.