Global Data Solutions Engineer

hace 7 días

Xico, México Essity A tiempo completo

About the Role

We are seeking an experienced professional to join our team as a Data Engineer. As a key member of our Data & Analytics team, you will play a crucial role in driving our digital transformation objectives.

Key Responsibilities

  • Contribute to delivering business impact by implementing effective solutions in a matrix organization to drive the enterprise information strategy and analytics transformation.
  • Be responsible for implementing 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.
  • 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.

Requirements

  • University degree in computer science, management information systems, or related discipline.
  • 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.
  • 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 Can Offer You

At Essity, we believe every career is as unique as the individual and empower employees to reach their full potential in a winning culture motivated by a powerful purpose.

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, and total reward.

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