Lead Data Engineer

Lo que hacemos

En Kenvue, nos damos cuenta del extraordinario poder del cuidado diario. Sobre la base de más de un siglo de herencia y arraigados en la ciencia, somos el hogar de marcas icónicas, incluidas NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® y BAND-AID® que ya conoces y amas. La ciencia es nuestra pasión; El cuidado es nuestro talento.

Quiénes somos

Nuestro equipo global está formado por ~ 22.000 personas brillantes con una cultura laboral en la que cada voz importa y cada contribución es apreciada. Nos apasionan las ideas, innovación y comprometidos con la entrega de los mejores productos a nuestros clientes. Con experiencia y empatía, ser un Kenvuer significa tener el poder de impactar a millones de personas todos los días. Ponemos a las personas en primer lugar, nos preocupamos ferozmente, nos ganamos la confianza de la ciencia y resolvemos con coraje, ¡y tenemos oportunidades brillantes esperándote! Únase a nosotros para dar forma a nuestro futuro y al suyo. Para obtener más información, haga clic en aquí.

Role reports to:

Ubicación:

Lugar de trabajo:

What will you

What We Are Looking For 

Required Qualifications:

• Typically requires a minimum of 8 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 6 years and a Master degree in Computer or Software Engineering; 
• Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture.
• Superb interpersonal & communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists. 
• 3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry
• 8-10 years of progressive experience with developing full stack Data Frameworks: ETL/ELT, data analysis, compute & storage, data pipelines, orchestration 
• Minimum of 3 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake, Redshift) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python.
• 3+ years implementing data pipelines enabling data products through data mesh / fabric concepts
• Minimum of 3 years leading data engineering teams with planning and execution using Agile methodology (Scrum/Kanban) within DevSecOps model
• Ability define data pipelines to address data challenges: different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data.
• Proven track record leading multiple high-profile projects with demanding deadlines, changing requirements, and working with defined resources. Ability to estimate required effort and prioritize work items appropriately.
• Thrives on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.

Desired Qualifications:

• Conversant with Data & Analytics product management, Azure, SQL, Data Catalog
• Experience with unstructured data processing and real-time data pipelines
• Preferably from Retail or CPG industry

Si usted es una persona con una discapacidad, consulte nuestra página de Disability Assistance para obtener información sobre cómo solicitar una adaptación.