Senior Data Engineer

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, we're the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® and BAND-AID® that you already know and love.

Science is our passion; care is our talent.

Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers.

With expertise and empathy, being a Kenvuer means to have the power to impact 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 future-and yours.

What You Will Do

The Senior Data Engineer is responsible for Software Development Engineering and performing work in the following areas:•Data Engineering & Data Modelling: •Forge trusted partnerships and be an integral part of Data Engineering, Data Architecture & Platforms and Data Science teams to adopt, scale and build data products •Data Warehouse Development & Administration: Designing, developing, implementing, and maintaining a data warehouse to integrate data from various sources/systems within an organization •Developing strategies for data acquisition, archive recovery, and database implementation •Managing data migrations/conversions and troubleshooting data processing issues •Focus on execution & delivery of highly reliable, high-quality data pipelines aimed at maximizing business value through data products• building and improving next generation data & analytics capabilities within DevSecOps framework•Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technology•Drive prioritization and implementation of most appropriate combination of data engineering methodologies & frameworks to ensure optimal scalability, flexibility and performance of platforms, products & solutions •Conducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics •Using programming, scripting, and/or database languages to write the software code •Supporting software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements

Key Responsibilities

• Main accountabilities includes: •Designing, building, and maintaining data products and pipelines •Developing and deploying data models •Monitoring and troubleshooting data systems •Working with product owners, data scientists and other stakeholders to understand the business needs and to build data solutions that meet those needs •Keeping up with the latest trend...