Kenvue 目前正在招聘 a：
我们做什么
在 Kenvue，我们意识到日常护理的非凡力量。我们以一个多世纪的传统为基础，植根于科学，是标志性品牌的品牌 - 包括您已经熟悉和喜爱的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科学是我们的热情所在;关心就是我们的才能。
我们是谁
我们的全球团队由 ~ 22,000 名才华横溢的员工组成，他们的职场文化中，每个声音都很重要，每一个贡献都受到赞赏。 我们热衷于洞察， 创新并致力于为我们的客户提供最好的产品。凭借专业知识和同理心，成为 Kenvuer 意味着每天有能力影响数百万人。我们以人为本，热切关怀，以科学赢得信任，以勇气解决——有绝佳的机会等着您！加入我们，塑造我们和您的未来。有关更多信息，请单击 here.
Role reports to：
Director, Data Products位置：
Asia Pacific, India, Karnataka, Bangalore工作地点：
混合你会做什么
Who we are
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.
Location: Bangalore
Job Overview
You will take a central role in defining and executing data engineering strategy, actively shaping the vision and roadmap for data-driven initiatives across the organization. You will lead a small, high-performing team, providing mentorship and direction to ensure successful project outcomes and alignment with business priorities. By instilling a culture of excellence in documentation, best practices, and workflow efficiency, you will drive continuous improvement and ensure the team remains at the forefront of emerging technologies. Your leadership will be instrumental in upholding and advancing the highest standards for data quality, reliability, and governance on a global scale.
Key Responsibilities
Lead and manage a high-performing team of data engineers across multiple projects and geographies
Manage vendor relationships, and strategic partnerships related to data infrastructure.
Mentor senior engineers and technical leads, fostering a culture of innovation and continuous improvement
Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture.
Qualifications
Education: Master’s degree in business, Computer Science, Engineering, or a related field
Experience:
Typically requires a minimum of 12 years of related experiences with a bachelor’s degree in computer or software engineering; or 9 years and a master’s degree in computer or software Engineering;
3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry
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.
Ability to 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.
Risk Management: Identify potential risks and challenges related to data and AI products and develop mitigation plans
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.
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