Data Engineer, Go to Market

🕒 Junho 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $85.000 - $120.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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CrowdStrike

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2011

🔒 Cibersegurança

☁️ SaaS

🤖 Inteligência Artificial

Cybersecurity • SaaS • Artificial Intelligence

A CrowdStrike é uma empresa de cibersegurança que oferece serviços de segurança em nuvem para impedir violações. É reconhecida como líder em proteção de endpoints, segurança de identidade e de nuvem, e detecção e resposta gerenciadas (MDR). A plataforma da CrowdStrike, Falcon, integra inteligência artificial para oferecer visibilidade, detecção e proteção em tempo real contra ameaças cibernéticas sofisticadas. A empresa é elogiada por sua eficácia na proteção de redes e dados, tornando-se um parceiro de confiança para empresas no mundo todo.

Descrição

• Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring. • Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes. • Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies. • Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub. • Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines. • Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making.

🎯 Requisitos

• 3+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache Airflow. • Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid ingestion and dissemination of key data. • Marketing Data Domain Expertise: Hands-on experience working with Marketing datasets including campaign performance data, lead, funnel stages and opportunity pipelines, and revenue attribution models. • Expertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures to enforce DRY (Don't Repeat Yourself) principles across the enterprise. • Advanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc. • Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption. • Proven experience integrating and managing business data from enterprise applications into Semantic Layers to decouple complex logic from the BI layer to drive analytics and insights. • Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.

🏖️ Benefícios

• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe