Data Engineering Leader

2 weeks ago


Bengaluru, Karnataka, India Kimberly-Clark Full time
Unlock Your Potential in Data Engineering

In this role, you will play a pivotal part in designing, building, and maintaining scalable data pipelines and data infrastructure. You will collaborate closely with data scientists, analysts, and other engineering teams to ensure our data systems are robust, efficient, automated, and aligned with business goals.

About the Role

This Senior Data Engineer position is focused on delivering high-quality data solutions that drive actionable insights and inform business decisions across the organization. As a key member of our team, you will be responsible for:

  • Designing, developing, and optimizing scalable data pipelines for collecting, processing, and storing large volumes of data from diverse sources.
  • Create and maintain data models, ensuring data structures are optimized for performance and usability.
  • Develop and manage Extract, Transform, Load (ETL) processes to ensure data integrity and availability.
  • Collaborate with stakeholders to understand their data needs and translate them into technical requirements.
  • Monitor and enhance the performance of data pipelines, providing recommendations to owners of data systems to ensure high availability and reliability.
  • Implement and enforce data governance practices to maintain data quality, accuracy, and consistency.
About Us

We're Kimberly-Clark, a leading global consumer goods company behind iconic brands like Huggies, Kleenex, and Scott. We're committed to innovation, growth, and impact, and we're always looking for talented professionals like you to join our team.

Your Qualifications

To succeed in this role, you'll need:

  • A B.S. degree in computer science or engineering; a master's degree in a related field is preferred but not required.
  • Minimum 3 years of experience in data engineering, with a proven track record of designing and managing data pipelines and infrastructure.
  • Proficiency in programming languages such as Python, Java, or Scala.


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