Data Engineer

Calling all originals: At Levi Strauss & Co. you can be yourself and be part of something bigger.Werea company of people who like to forge our own path and leave the world better than we found it. Whobelievethat what makes us different makes usstronger.Soadd your voice. Make an impact. Find your fit and your future.

Join our Data & AI Platform Engineering organisation and lead the charge in transforming the fashion industry. As a Data Engineer you will develop groundbreaking solutions that support our global business forward while being part of a dynamic cross-continental data community.

You will be an important member of the E-commerce & Consumer Data Domain team. You will work on a cloud native and modern data platform building data pipelines to building data models and transformations to delivering data products and dashboards to our partners. You will provide technical expertise and operational support to meet the data needs for our businesses. From migrating existing workloads to building advanced cloud solutions you will help shape and implement strategies to improve security reduce costs and meet use targets.

You will collaborate with teams including Analysts Data Scientists SREs and other engineers focusing on delivering high-quality data products that foster a culture of engineering excellence. We are looking for someone who brings thoughtful perspective creativity and someone who can solve problems at scale.

About the Job

*Design and implement data pipelines and ETL processes to support large-scale data products.

*Develop and deliver efficient data models and products that align with our needs.

*Understand requirements and come up with data models and products while developing solutions tailored to analytical and usage requirements.

*Implement data quality governance and best practices to ensure consistency accuracy and reliability across data products.

*Establish monitoring systems to keep partner trust throughout the data lifecycle.

*Perform root cause analysis and implement preventative solutions.

*Monitor processes to ensure data quality and performance using cost analysis to design efficient solutions and minimise overruns.

*Work with partners to grasp requirements translate them into detailed technical solutions that align with the timelines and plan incremental delivery.

*Lead a team of junior data engineers with code reviews and share best practices for data engineering.

*Familiarity with modern software development practices (Agile CI/CD) applied to data engineering.

About You

*10 years of experience in data engineering building and scaling data-intensive applications.

*Experience with data warehousing concepts dimensional modelling and ETL best practices.

*Proficiency in SQL and at least one coding language like Python or Java.

*Hands-on experience with open-source big data technologies such as Spark *Flink and Hive.

*Familiarity with Agentic AI.

*Experience with one of the major public cloud platforms. GCP Experience is good to have.

*Working knowledge in any data transformation libraries like DBT (Data Build Tool) PySpark or Snowflake.

*Working knowledge of GitHub/Git Toolkit and CI/CD best practices.

*Collaborative team player who can work with both technical and non-technical team members.

Benefits

We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care taking time off improving your health or planning for retirement weve got you covered.

Heres a small snapshot:

Complimentary preventive health check-up for you & your spouse

OPD coverage

Best in class leave plan including paternity & family care leaves

Counselling sessions to prioritize mental well-being

Exclusive discount vouchers on Levis products

We are an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us regardless of race religion gender gender identity pregnancy disability sexual orientation age national origin citizenship status or genetic information. We actively seek and encourage applications from diverse candidates including those with disabilities and offer accommodations throughout the selection process upon request. To ensure that our products and culture continue to incorporate everyones perspectives and experience we never discriminate based on race religion national origin gender identity or expression sexual orientation age or marital veteran or disability status.