Kenvueは現在、以下求人を募集しております。
Lead Engineer私たちがしていること
私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。
Who We Are
私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。
Role reports to:
Enterprise Integration Lead場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
Role Overview
We are hiring a talented Platform Engineer to design, build, and maintain our cloud-based data platform. This role centers 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, modeling, 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.
- 6-8 years of experience in platform or data engineering, with 2+ years hands-on with Snowflake and 1+ 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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