May 1
• 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
• 2-4 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 • 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 • 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) • A passion for exploring and solving different kinds of problems while learning and assimilating technical information quickly
• 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
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