Data Engineer

hace 4 semanas

Xico, México Essity A tiempo completo
About the Role

We are seeking an experienced Data Engineer to join our team and contribute to our digital transformation objectives. As a Data Engineer, you will work across various data and analytics tools, applications, and big data platforms to drive business impact and find effective solutions.

Key Responsibilities
  • Implement global projects, primarily for Latam countries, and develop, build, configure, unit test, and implement data solutions based on lower-level designs within the data infrastructure.
  • Ensure data solution technical functionality and meet requirements outlined in the design in terms of scalability, security, performance, data recovery, reliability, etc.
  • Constantly monitor, refine, and report on the performance of data management systems.
  • Implement system configuration changes based on defined solution and ensure that developed solutions are peer reviewed and formally documented according to company IT standards.
  • Unit test solutions to ensure that they meet quality standards and maintain, support, and repair solutions to ensure performance in accordance with technical and functional specification.
Requirements
  • University degree in computer science, management information systems, or related discipline.
  • Significant experience of application programming (python or Scala) and ETL/ELT experience.
  • Experience with big data technologies including Hadoop, Apache Spark.
  • More than two years working experience with Databricks and Microsoft Azure Data Lake tools (Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Data Warehouse, Power BI, Logic Apps).
  • More than one year working experience building automation pipelines for testing and deployment using Azure DevOps.
  • Experience working with creating restful APIs and creating external applications to run data science models.
  • Expert in a combination of Spark (Python, R or Scala), PySpark, Spark SQL, Pandas, and/or Spark Streaming.
  • Advanced knowledge of Python to be able to perform code refactoring.
  • Experience in big data tools (Elastic Search/Solr and Kafka) is a plus.
  • Basic understanding of data science.
  • Jupyter Notebooks experience is nice to have.
  • Fluent English and Spanish both written and oral.
About Us

Essity is a globally leading hygiene and health company, breaking barriers to well-being. Our expertise in hygiene and health began with the acquisition of the Swedish company Mölnlycke in 1975, through which our roots stretch back to 1849. Today, our sustainable innovations from globally trusted brands, designed for everybody and every body, care for the well-being of 1 billion people in 150 countries every day.

We are committed to Diversity, Equity, and Inclusion in everything we do. It is the key to our success in creating an inclusive, collaborative, and caring company culture where you can be you with us. Our purpose of Breaking Barriers to Well-being, is to enable customers and consumers to lead fuller lives at all stages of life.

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