Job Description

Kenvue is currently recruiting for a:

Data Engineer - EMEA Data & Analytics

What we do

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.

Who We Are

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated.We are 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 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. For more information, click here

Role reports to:

Manager Data & Analytics EMEA

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Hybrid

What you will do

Job Title: Data Engineer - EMEA Data & Analytics

Location: Bangalore

Company: Kenvue

We are seeking a skilled Data Engineer to join our dynamic EMEA data and analytics team. The ideal candidate will have a strong background in data engineering, with hands-on experience in utilizing the Kenvue Data Platform, which includes Snowflake/Databricks, Apache Airflow, dbt/PySpark, Streamlit, GitHub and Python. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that support our analytics and reporting needs.

Key Responsibilities:

• Data Pipeline Development: Design, implement, and maintain robust data pipelines using Apache Airflow, ensuring data is ingested, transformed, and made available for analytics and reporting.

• Data Warehousing: Utilize Snowflake/Databricks for data storage, management, and optimization, ensuring high performance and reliability of data access.

• Data Transformation: Employ dbt (data build tool)/PySpark to develop and manage the data transformation workflow, ensuring data quality, consistency, and documentation.

• Data Visualization: Collaborate with data visualization developers (PowerBI) and stakeholders to create interactive dashboards and data applications using Streamlit, providing insights and supporting decision-making processes.

• Programming & Scripting: Write efficient and scalable code in Python to automate data processes, perform data cleansing, and manage ETL workflows.

• Collaboration: Work closely with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights.

• Monitoring & Maintenance: Implement monitoring solutions to ensure data quality, pipeline health, troubleshoot issues, and optimize performance.

• Version Control: Utilise GitHub to follow best version control practices.

• Documentation: Maintain comprehensive documentation of data workflows, methodologies, and best practices to ensure knowledge sharing within the team.

• Support and Maintenance: Ability to take over the support/maintenance of existing solutions built on the Kenvue Data Platform.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

• 3+ years of experience in data engineering or a related role.

• Hands-on experience with Snowflake/Databricks, Apache Airflow, dbt, Streamlit, GitHub and Python.

• Strong understanding of ETL/ELT processes, data modeling, and data warehousing concepts.

• Proficiency in SQL and experience with data querying and analysis.

• Familiarity with data visualization tools and techniques (PowerBI)

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.

Preferred Qualifications:

• Knowledge of data governance and data security practices.

• Knowledge of data observability best practices.

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.