3Z Brands · 2 days ago

Data Engineering Manager

Glendale, AZ

Full-time

Remote

Mid, Senior Level

3+ years exp

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Responsibilities

Build and deliver Data Engineering projects

Delivery focused: Help design solutions using a rigorous hypothesis-based approach, partner with cross-functional teams, and execute development and implementation with a focus on value.

Agile and pragmatic: Rapidly and iteratively deliver results in high pressured projects with the skill to pivot quickly as needed relative to business needs and value.

Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS), languages/technologies (e.g., Python, SQL), Orchestration (DBT) and tools (e.g., Snowflake, Power BI), with an ability to build IP into reusable software.

Structured approach: Bring order to disparate requirements with high tolerance for ambiguity, very strong problem-solving ability, and excellent stakeholder engagement skills.

Build a reputation as a trusted technologist and voice on Data topics both internally and externally

Technology polymath: Experience with a wide range of technology and can learn and develop any solutions across the full software development lifecycle and application stack

Test & Learn mentality: Challenge our current best thinking, test theories, and iterate rapidly.

Creativity: Invent new analyses to solve business problems

Trusted voice: Establish a reputation of delivering on commitments, building trusted relationships with stakeholders.

Subject matter expertise: Develop deep subject matter expertise across techniques, technologies, and industries.

Supervise and mentor a team of data engineers and BI professionals.

Ensure data quality, integrity, and security across all data projects.

Stay up-to-date with industry trends and best practices in data and analytics.

Provide technical leadership and guidance to the team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringSQLPythonDBTSnowflakePower BITechnical LeadershipLooker