The Data Engineer is accountable for the design, implementation and release from an IT perspective of modern data applications and pipelines of running projects as well as new initiatives in the context of the Digital Lab.
The professional will be responsible to build integrations with external data systems, to enable data collection from a wide variety of data sources, to transform and combine properly these data in order to enable Advanced Data Analytics use cases.
The professional will also be responsible to deploy, manage and maintain the data platform in the Cloud that is the backbone for any data related project of the organization.
The professional will work closely with Business and R&D; departments as IT function will orchestrate and facilitate Cloud, IoT and Big Data projects following the Enterprise Architect guidance and collaborate with others IT Enterprise functions.
The professional ensures compliance with advised BSEMIA data management rules, security policies, tools, and technology stack.
The professional has experience with Agile frameworks and Strategic mind set with hands-on mentality, creative / out-of-the-box, flexible / courageous, showing ownership and agility.
Responsibilities:
- Design, develop and deliver reliable modern data pipeline to support any data related projects
- Implement Batch processes for data Ingestion, Processing and Transformations
- Implement Streaming processes for data Ingestion, Processing and Transformations
- Serve and provide access to the final datasets to Data Science Team to enable Advanced Analytics
- Manage data and related metadata in Big Data Warehouse, Structured and/or Unstructured Data stores
- Design, Administer and Maintain Data Lake for Big Data Analytics
- Design, Develop and Deliver components for Data Integration and Extraction
- Operates data pipelines and cloud resources in case of failures and bugfixes
- Deployment, configuration
📌 Digital Solution Architect (Italia)
🏢 Bridgestone
📍 Italia
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