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Lead Data Engineer

职位职能:
发布日期:
结束日期:
ID:
2507041793W

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Kenvue 目前正在招聘 a:

Lead Data Engineer

我们做什么

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

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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