Global Data Engineer
hace 3 semanas
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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