Lead Analyst

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

Role Overview

We are hiring a talented Lead Engineer to design, build, and maintain our cloud-based data integration platforms. This role centres on hands-on development with Snowflake and DBT to create reliable, scalable data infrastructure that supports analytics, machine learning, and business operations. The ideal candidate will work collaboratively with data teams to implement efficient pipelines, automate processes, and ensure platform resilience while contributing to innovative data solutions.

Key Responsibilities

• Develop and optimize data pipelines using DBT for transformation, modelling, and testing within Snowflake environments.

• Architect scalable data storage and processing solutions in Snowflake, focusing on performance, security, and cost efficiency.

• Implement automation for deployment, monitoring, and maintenance of the data platform using CI/CD practices.

• Troubleshoot and resolve platform issues, including data ingestion, querying, and integration challenges.

• Collaborate with analysts, engineers, and stakeholders to refine requirements and deliver high-quality data infrastructure.

• Enforce data governance standards, including access controls, auditing, and compliance within Snowflake.

• Integrate complementary tools for orchestration, ETL, and observability to enhance platform capabilities.

• Contribute to platform evolution, incorporating feedback and new features for AI/ML support.

Qualifications

• Bachelor’s degree in computer science, Engineering, or a related field; relevant certifications a plus.

• Total of 7+ years exp with 3+ years of experience in platform or data engineering, with 3+ years hands-on with Snowflake and 3+ year with DBT.

• Proven ability to work in agile teams on complex, production-grade data systems.

• Understanding of cloud infrastructure, distributed systems, and data engineering principles.

Required Skills

• Proficiency in Snowflake for warehousing, SQL optimization, and resource management.

• Strong DBT expertise for building modular, testable data models and workflows.

• Advanced SQL and programming skills (e.g., Python, Java) for scripting and automation.

• Experience with orchestration tools like Airflow, version control (Git), and cloud services (AWS, Azure).

• Knowledge of ETL/ELT processes, data security, and performance tuning.

• Problem-solving abilities with a focus on scalable, maintainable code.

• Effective collaboration and documentation skills.

Preferred Skills

• Familiarity with big data technologies like Spark or Kafka.

• Experience with infrastructure-as-code tools (e.g., Terraform) or containerization (Docker, Kubernetes).

• Certifications in Snowflake, DBT, or cloud platforms.

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