Global Data Engineer

hace 3 semanas


Xico, México Essity A tiempo completo
About the Role

We are seeking a highly skilled Data Engineer to join our team at Essity. As a Data Engineer, you will play a critical role in designing, building, and maintaining our data infrastructure to support business growth and innovation.

Key Responsibilities:

  • Design and implement data solutions using big data technologies such as Hadoop, Apache Spark, and Azure Data Lake.
  • Develop and maintain automation pipelines for testing and deployment using Azure DevOps.
  • Collaborate with cross-functional teams to ensure data accuracy and accessibility.
  • Monitor and refine data management systems to ensure performance and scalability.
  • Implement system configuration changes and ensure that developed solutions meet quality standards.

Requirements:

  • University degree in computer science, management information systems, or related discipline.
  • Experience with big data technologies, including Hadoop, Apache Spark, and Azure Data Lake.
  • More than two years of experience with Databricks and Microsoft Azure Data Lake tools.
  • Expertise in a combination of Spark, PySpark, Spark SQL, Pandas, and/or Spark Streaming.
  • Advanced knowledge of Python to perform code refactoring.
  • Experience with big data tools such as Elastic Search/Solr and Kafka is a plus.
  • Basic understanding of data science.
  • Jupyter Notebooks experience is a plus.
  • Fluent English and Spanish, both written and oral.

What We Offer:

  • A collaborative and caring culture.
  • Empowerment and engaged people.
  • Work with impact and a powerful purpose.
  • Individual learning and career growth.
  • Health and safety priority.
  • Sustainable value together.
  • Innovation.
  • Sustainable working life.
  • Total reward.

Essity is a global company that improves lives by providing essential products and services for well-being. We strive to reach more people every year with the necessary and essential solutions for well-being.


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