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：
Tech Sr Mngr Data n Analytics Pltf Lead位置：
Asia Pacific, India, Karnataka, Bangalore工作地点：
混合你会做什么
Key Responsibilities:
• Platform Support: Assist in building and maintaining Snowflake data warehouse
components, including tables, views, and basic data models.
• Data Pipeline Assistance: Help develop and test ETL/ELT processes to ingest and
transform data using Snowflake and related tools.
• Query Development: Write and optimize basic SQL queries to support data preparation
and reporting needs.
• Monitoring: Monitor data pipeline performance and assist in troubleshooting issues
under the guidance of senior engineers.
• Documentation: Contribute to documenting processes, configurations, and workflows
to support team knowledge sharing.
• Learning & Growth: Actively participate in team training, code reviews, and mentorship
sessions to build expertise in Snowflake and data engineering.
Required Qualifications:
• Experience: 1-2 years of experience in data-related roles (e.g., internships, academic
projects, or entry-level positions) or a strong foundational knowledge of databases and
SQL.
Technical Skills:
• Basic understanding of SQL and relational database concepts.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) or willingness to learn.
• Exposure to Snowflake (e.g., through coursework, personal projects, or internships).
• Exposure to data warehousing or ETL processes is a plus.
• Education: Bachelor’s degree in Computer Science, Data Engineering, Information
Systems, or a related field (or equivalent experience).
• Curiosity: A strong desire to learn and grow in data engineering, with an interest in
Snowflake and cloud technologies.
• Team Player: Ability to collaborate effectively and take direction from senior team
members.
Preferred Qualifications:
• Familiarity with DevOps practices, CI/CD pipelines, and tools like Terraform or Git.
• Familiarity with dbt (data build tool) for data transformation workflows is a plus.
• Basic scripting skills in Python or a similar language.
• Experience with data visualization tools (e.g., Tableau, Power BI) or data pipeline
tools.
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