Kenvue 目前正在招聘 a：
我們做什麼
在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。
我們是誰
我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.
Role reports to：
Director, Data Products位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
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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