Kenvueは現在、以下求人を募集しております。
Lead Data 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:
Director, Data Products場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
What We Are Looking For
Required Qualifications:
- Typically requires a minimum of 8 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 6 years and a Master degree in Computer or Software Engineering;
- Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture.
- 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.
- 3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry
- 8-10 years of progressive experience with developing full stack Data Frameworks: ETL/ELT, data analysis, compute & storage, data pipelines, orchestration
- 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.
- 3+ years implementing data pipelines enabling data products through data mesh / fabric concepts
- Minimum of 3 years leading data engineering teams with planning and execution using Agile methodology (Scrum/Kanban) within DevSecOps model
- Ability 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.
Desired Qualifications:
- Conversant with Data & Analytics product management, Azure, SQL, Data Catalog
- Experience with unstructured data processing and real-time data pipelines
- Preferably from Retail or CPG industry
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