Kenvueは現在、以下求人を募集しております。
Manager, Data Engineering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:
Manager Solution Architecture場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
フルオンサイトあなたがすること
Position Overview
We are seeking an experienced and visionary Manager of Data Engineering to lead our data engineering team and drive the design, development, and optimization of modern data platforms and pipelines. This role requires a strategic thinker with deep technical expertise, proven leadership skills, and a passion for building scalable, high-quality data solutions that empower analytics and business decision-making.
Key Responsibilities
Leadership & Strategy.
Provide strategic direction for data engineering initiatives, aligning with organizational goals. Lead, mentor, and develop a high-performing team of data engineers. Foster a culture of innovation, collaboration, and continuous improvement.
Data Platform & Pipeline Development.
Architect and implement robust, scalable, and secure data pipelines and workflows. Drive adoption and optimization of modern data platforms and tools (e.g., Snowflake, dbt, Airflow). Ensure efficient orchestration and transformation of data using SQL and Python.
Data Architecture & Governance.
Design and maintain enterprise-grade data architecture and data models. Implement best practices for data governance, data quality, and compliance. Establish standards for data engineering excellence and operational reliability.
Collaboration & Stakeholder Management.
Partner with analytics, product, and business teams to deliver data solutions that meet evolving needs. Communicate technical concepts and strategic vision effectively to both technical and non-technical stakeholders.
Required Qualifications
Experience: 14+ years of professional experience in data engineering or related fields, with at least 5+ years in leadership roles.
Technical Expertise: Deep knowledge of modern data platforms and tooling (Snowflake, dbt, Airflow, etc.). Advanced proficiency in SQL and Python for data transformation, orchestration, and analytics workflows. Strong understanding of data architecture, data modeling, and end-to-end pipeline design.
Governance & Best Practices: Solid knowledge of data governance, data quality frameworks, and engineering best practices.
Leadership: Fully autonomous senior professional with proven ability to lead, mentor, and inspire teams. Strategic vision and sound judgment to guide complex data initiatives.
Preferred Skills
Experience with cloud platforms (AWS, Azure, GCP).
Familiarity with CI/CD for data workflows.
Strong communication and stakeholder management skills.
障害のある個人の方は、宿泊施設のリクエスト方法について障害支援ページを確認してください。
