Staff Engineer

About Kenvue: Kenvue is the worlds largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno, Johnsons, Listerine, and Neutrogena are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers hands and earn a place in their hearts and homes. What We Are Looking For Required Qualifications: Typically requires a minimum of 12 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 7 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. Risk Management: Identify potential risks and challenges related to data and AI products and develop mitigation plans. 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

Location: bangalore, IN

Posted Date: 1/11/2025