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Global Data Engineer
hace 2 meses
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 strategy and contributing to the development of innovative data solutions that improve the well-being of millions of people around the world.
Key Responsibilities- Contribute to delivering business impact by designing and implementing effective data solutions that drive 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.
- 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.
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 provide a sustainable work-life based on flexibility for both employees and employers. At Essity, 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.