What will you do:
* Build, maintain and optimize data pipelines for extracting, transforming and loading (ETL) data from various sources
* Design and implement scalable data architectures, data models and databases to support business analysis and reporting needs
* Integrate data from various internal and external sources and ensure data quality and consistency across systems
* Implement data validation controls, data quality metrics and maintain data governance practices to ensure data accuracy and security
* Work with large-scale data processing frameworks and other distributed systems to manage big data workloads
* Leverage cloud-based data solutions and infrastructure for data storage, processing and analysis
* Collaborate with stakeholders to understand data needs and ensure data infrastructure aligns with business objectives
* Ensure that data engineering practices comply with the organisation's privacy laws and security policies
* Participate in the testing stages from design, execution, integration and acceptance, providing adequate business process knowledge
Requirements:
* Bachelor's degree in Information Technology, Computer Science or Mathematic or related field
* 1 year of experience as IT data engineering, preferably in environments with production plants
* Experience with ETL tools, SQL, Python, or other programming languages used for data processing, and knowledge of data pipeline orchestration tools
* Experience with big data tools and platforms, proficiency in distributed computing concepts, and knowledge of cloud data services (e.g., AWS, Azure, Google Cloud)
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud), cloud-native data tools (e.g., AWS Glue, Azure Data Factory), and serverless computing
* Fluent English
illycaffè as B-Corp is committed to a diverse and inclusive workplace generating positive effects for the environment, for the community and for people.
#J-18808-Ljbffr