Data Engineer

hace 1 semana

Xico, México Essity A tiempo completo
About the Role

We are seeking an experienced Data Engineer to join our team at Essity, a globally leading hygiene and health company. As a Data Engineer, you will play a key role in driving our digital transformation and improving the well-being of millions of people around the world.

Key Responsibilities
  • Contribute to delivering business impact by implementing effective data solutions and driving the enterprise information strategy and analytics transformation.
  • 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.
  • Align and implement measures to ensure data accuracy and accessibility.
  • Constantly monitor, refine, and report on the performance of data management systems.
  • Implement system configuration changes based on defined solution.
  • 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.
  • Maintain, support and repair solutions to ensure performance in accordance with technical and functional specification.
  • Cooperate with other data engineers to make sure that the applications meet requirements and performance goals.
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.
What We Offer
  • A collaborative and caring culture that empowers employees to reach their full potential.
  • A winning culture motivated by a powerful purpose.
  • Individual learning and career growth opportunities.
  • A sustainable work-life balance based on flexibility for both employees and employers.
  • A commitment to diversity, equity, and inclusion in everything we do.

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