Lead Analyst

Lead Analyst

O que fazemos

At Kenvue, percebemos o extraordinário poder do cuidado diário. Construída com base em mais de um século de herança e enraizada na ciência, somos a casa de marcas icônicas - incluindo NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® que você já conhece e ama. A ciência é a nossa paixão; O cuidado é o nosso talento.

Quem somos

Nossa equipe global é de ~ 22.000 pessoas brilhantes com uma cultura no local de trabalho onde cada voz é importante e cada contribuição é apreciada. Somos apaixonados por insights, inovação e comprometidos em entregar os melhores produtos aos nossos clientes. Com experiência e empatia, ser um Kenvuer significa ter o poder de impactar milhões de pessoas todos os dias. Colocamos as pessoas em primeiro lugar, nos importamos ferozmente, ganhamos confiança com a ciência e resolvemos com coragem - e temos oportunidades brilhantes esperando por você! Junte-se a nós para moldar nosso futuro - e o seu. Para obter mais informações, clique em aqui.

Role reporta para:

Enterprise Integration Lead

Localização:

Asia Pacific, India, Karnataka, Bangalore

Local de trabalho:

Híbrido

O que você fará

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.

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