Kenvue - Lead Enterprise Data & Analytics Engineer

Note : Women Candidates Preferred

Description :

Who we are :

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, were the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnsons and BAND-AID Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the 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 futureand yours. For more information, click here.

Role reports to : Manager, Data Engineering

Location : Bangalore, India

Travel % : up to 10%

What you will do :

- Develop, customize, and manage integration tools, databases, warehouses, and analytical systems

- Develop data pipelines from internal and external data sources to support new product launches and drive data quality across data products

- Build automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance

- Assist in implementation of best practices around systems integration, security, performance and data management

- Partner with the business, IT, and technical subject matter experts to develop robust solutions.

- Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality

- Monitor the overall performance and stability of the system; adjust and adapt automated pipeline as data, models, and/or requirements change

- Test the reliability and performance of data engineering pipelines and support testing team with data validation activities

- Partner with various Snowflake Engineering subject matter experts including vendor partners, project managers and business team to scope and build customer facing content, modules, tools and proof of concepts

- Research and cultivate state-of-the-art data engineering methodologies to develop into Snowflake technology stack developer

What We Are Looking For :

Required Qualifications :

- Bachelor's degree in engineering, computer science, or related field.

- Good scripting, data modelling and programming skills

- Understanding of cloud architecture principles and best practices

- Experience in the design and build of end-to-end solutions that meet business requirements

and adhere to scalability, reliability, and security standards

- Familiarity with version control systems such as GitHub, GitHub Actions and DevOps practices

for CI/CD pipelines

Desired Qualifications :

- Hands on development experience in Snowflake architecture design is desired

- Good understanding of migration and modernization strategies and approaches is preferred

- Experience with Python, EKS Implementations, Spark, Kafka, and/or Flask is desired

- Competitive Total Rewards Package

- Paid Company Holidays, Paid Vacation, Volunteer Time & More!

- Learning & Development Opportunities

- Employee Resource Groups

- This list could vary based on location/region