Global Data Solutions Architect
hace 1 semana
We are seeking an experienced Data Engineer to join our team at Essity in Mexico (Mexico City/Monterrey), Colombia, Chile or Brazil.
As a key member of our Analytics Microsoft Delivery team, you will work 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.
The ideal candidate will have more than two years of experience with Databricks and Microsoft Azure Data Lake tools (Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Data Warehouse, Power BI, Logic Apps) and expertise in big data technologies including Hadoop, Apache Spark.
You will 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. You will ensure that developed solutions are peer reviewed and formally documented according to company IT standards.
The estimated annual salary for this position is around $120,000-$180,000 depending on your qualifications and experience.
About the Role:
- 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.
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).
- 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.
- Fluent English and Spanish both written and oral.
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