DAS42 - Team Lead (Data Engineering)
Requirements
• 5 to 8 years of work experience in data analytics or data engineering. • Minimum of 1 year leading projects, formally or informally. • Experience managing internal employees, ideally with formal direct reports. • A passion for exploring and solving different kinds of problems. • Exposure to developer tools/workflow (e.g., git/github, SSH) and command line environments. • Familiarity with project management tools (e.g., Basecamp, JIRA, ASANA). • Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift). • Proficiency with business visualization tools (e.g., Looker, Tableau, Microsoft PowerBI). • Experience with data warehousing and using Snowflake. • Experience optimizing database/query performance. • Proficiency with Python and advanced SQL. • Bachelor's or Master’s degree in a quantitative or technical field (preferred). • Experience in consulting/services organizations (preferred). • Experience with Media & Entertainment or Telecom companies (preferred). • We differentiate ourselves in the talent market by investing in a full suite of benefits and a culture that supports our employees' achievement of our core mission to help the world’s leading companies make better decisions, faster. • help the world’s leading companies make better decisions, faster. • The values of DAS42 drive the Total Experience Equation we offer for our team. We hope to motivate and engage our employees through a variety of offerings that satisfy those values and needs in a way unique to DAS42. A few of those benefits include: • 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 • All new hires will be required to complete a background check, and employment at DAS42 is contingent upon successfully passing it. If an applicant is found to have misrepresented themselves, DAS42 reserves the right to withdraw the offer.
Responsibilities
• Guide clients on optimizing their data environment for maximum efficiency. • Develop system engineering, integrations, and architectures based on client needs. • Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools. • Develop data models to capture client's KPIs and data transformations; validate and test data models. • Teach technical data modeling concepts to various audiences, including developers and IT professionals. • Manage technical teams of up to 4-6 people, delegating work across engagements. • Assign staff with appropriate skill sets to projects in conjunction with the project manager. • Work within a project management framework to meet objectives and understand the impact of your work. • Collaborate with Sales and Marketing teams to develop Thought Leadership and support sales efforts.
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