Data Engineer Consultant

🕒 May 11

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DAS42

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

🤝 B2B

📡 Telecommunications

Artificial Intelligence • B2B • Telecommunications

DAS42 is a data, analytics, and AI consultancy firm that specializes in modernizing and optimizing data management and analytics strategies for businesses. The company offers solutions such as forecasting, predictive analytics, data migrations, subscriber analytics, and self-service analytics. DAS42 supports industries including telecommunications and media & entertainment, leveraging AI to enhance customer experiences, optimize networks, and provide detailed audience insights. By partnering with technology platforms like Snowflake, DAS42 aims to enhance their clients' data capabilities and support them in becoming truly data-driven organizations.

📋 Description

• Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions. • Develop system engineering, integrations, and architectures based on client needs. • Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools. • Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models. • Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals. • Support, maintain, and document clients’ data environments. • Work within a project management framework to meet objectives, understand scope, and impact of your work across an organization. • Work with the Sales and Marketing teams to develop Thought Leadership and support our sellers by talking to clients about DAS42’s capabilities.

🎯 Requirements

• 4 to 6 years of work experience in a data analytics or data engineering role. • A passion for exploring and solving different kinds of problems. • A desire to learn and assimilate technical information quickly. • Exposure to developer tools/workflow (e.g. git/github, SSH). Knowing how to get around a command line environment. • Project management (eg. Basecamp, JIRA, ASANA). • Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift). • Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI). • Experience with data warehousing and using Snowflake. • Experience optimizing database/query performance. • Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL. • 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). • Worked for a consulting/services organization (preferred). • Worked with or for Media & Entertainment or Telecom companies (preferred).

🏖️ Benefits

• Unlimited Vacation • Medical, Vision, and Dental Insurance • Paid Family and Medical Leave • Individual and Company Bonus Programs • Regular, In-person Company Events • Flexible Work Policy • Remote Work Stipend • 401(k) Matching • Learning and Development Programs

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