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Manager, Data Engineering

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Veröffentlichungsdatum:
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ID:
2607045166W

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Kenvue rekrutiert derzeit für a:

Manager, Data Engineering

Was wir tun

Bei Kenvue erkennen wir die außergewöhnliche Kraft der täglichen Pflege. Aufbauend auf über einem Jahrhundert Tradition und verwurzelt in der Wissenschaft, sind wir das Haus der ikonischen Marken - darunter NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE®, JOHNSON'S® und BAND-AID®, die Sie bereits kennen und lieben. Wissenschaft ist unsere Leidenschaft; Fürsorge ist unser Talent.

Wer wir sind

Unser globales Team besteht aus ~ 22.000 brillanten Mitarbeitern mit einer Arbeitsplatzkultur, in der jede Stimme zählt und jeder Beitrag geschätzt wird. Wir sind leidenschaftlich an Erkenntnissen interessiert, Innovation und dem Engagement, unseren Kunden die besten Produkte zu liefern. Mit Fachwissen und Einfühlungsvermögen bedeutet ein Kenvuer zu sein, die Macht zu haben, jeden Tag Millionen von Menschen zu beeinflussen. Wir stellen den Menschen an die erste Stelle, kümmern uns leidenschaftlich, gewinnen Vertrauen in der Wissenschaft und lösen Lösungen mit Mut – und haben brillante Möglichkeiten, die auf Sie warten! Gestalten Sie mit uns unsere Zukunft – und Ihre. Für weitere Informationen, klicken Sie auf hier.

Rollenberichte an:

Director, Data Products

Standort:

Asia Pacific, India, Karnataka, Bangalore

Arbeitsort:

Hybrid

Was Sie tun werden

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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