Manager - Data Engineering

Description

Manager - Data Engineer

This position reports to Data Operations Director and is based at India.

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® 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 future-and yours.

For more information, click here .

What you will do

As a Data Engineer in the Global Analytics team, you will play a crucial role in designing, building, and maintaining scalable data pipelines and data models.

You will work with cutting-edge technologies such as Snowflake, Python, Databricks and Azure Services to enable data-driven insights and support various analytics initiatives across the organization.

Key Responsibilities



* Data Pipeline Development: Design, develop, and maintain robust data pipelines to ingest, transform, and store data from diverse sources into Snowflake and other data storage solutions.



* Data Modeling: Collaborate with data analysts and business stakeholders to create and optimize data models that meet analytical requirements and support reporting needs.



* ETL Processes: Implement ETL processes using DBT and other tools to ensure data integrity, quality, and availability for analytics and reporting.



* Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver relevant datasets for analysis.



* Performance Optimization: Monitor and optimize the performance of data pipelines and data models, ensuring efficient processing and quick turnaround times.



* Documentation: Maintain clear and comprehensive documentation of data pipelines, architecture, and processes to support knowledge sharing and future development.



* Cloud Infrastructure: Utilize Azure services to deploy and manage data solutions, ensuring security, scalability, and reliability.



* Troubleshooting: Identify and resolve data-related issues, ensuring data quality and accuracy across all analytics initiatives.

What we are looking for

Required Qualifications

Must have:



* Bachelor's degree in computer science, Information Technology, Data Science, or a related field.


* Proven experience (8 years) as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and best practices.


* Proficien...