Global Data Engineer

at  Essity

WHO YOU ARE

• 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.
• We are looking for someone with organizational and structural capabilities, with good communication skills and with the capability to adapt to a fast pace changing environment.

ABOUT THE ROLE

We strongly believe that in this digital age for a sustainable competitiveness it is imperative to have a strong focus on Data & Analytics cutting across Business Services. We are heavily investing in areas like Big Data, Data Science, Reporting, and BI Tools to meet our Digital transformation objectives. We are looking for an experienced professional in the role of Data Engineer to help us in achieving the same. In this role of Data Engineer, you will work across various Data & Analytics Tools, Applications, and Big Data Platforms.
You feel ownership (and are responsible) for the data, as key company asset and driving, govern, and guide teams and know how to maximize value and balance speed and quality in delivery. You are aware about the best practices in Data & Analytics domain, and you know the best way to utilize them, or you are keen to learn and share your findings with others. As part of the Analytics Microsoft Delivery team, you will be working closely with Data Science, Enterprise Architecture, and Business Unit teams to contribute towards the data strategy; as well as with Application Architects and Solution Architects to implement coherent solution architecture and learn from each other.
We’re looking for people who embody our values, aren’t afraid to challenge, innovate, experiment, and move at a fast pace. We’re always looking for ways to improve our products and ourselves. If this is you, we’d love to talk.

WHAT YOU WILL DO

• Contribute to delivering business impact and finding and implementing effective solutions in a matrix organization to drive the enterprise information strategy and analytics transformation.
• Be responsible for implementing global projects, primary 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.
• Cooperate with other data engineers to make sure that the applications meet requirements and performance goals.