We invite you to join Vodafone to build a future together, in a position where you can learn new things every day and have contact with the different business units of the Company, as well as related institutions and public bodies.
Data Engineers are responsible for managing and improving the performance of the AI/ML models implemented in the Big Data and AI department.
From the data reliability and quality stages to the tracking and monitoring of the models in production, the Modeling Engineers combine raw information from different sources to create consistent and machine-readable formats, develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling, and build core infrastructure around model training, model deployment, ongoing monitoring tools, and much more.
Their key responsibility is ensuring that the Big Data models are developed, implemented, and continually improved with the maximum possible efficiency.
Data Engineer roles and responsibilities include:Create and maintain optimal data pipeline architecture.Assemble large, complex data sets that meet functional/non-functional business requirements.Identify, design, and implement internal data modeling process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Work with Data Engineering to ensure the adequacy of the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google Cloud 'Big Data' technologies.Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.Monitor data quality and efficiency.Study and transform data science prototypes.Run machine learning tests and experiments.Train and retrain systems when necessary.Extend existing ML libraries and frameworks.Deploy and scale ML solutions.Build and maintain a model performance tracking environment to ensure monitoring and alarming of the Big Data models in production to quickly identify and qualify any performance issues for continuous improvement of the models.What you bring:Graduated in Computer Science, Telecommunications Engineering, or related field.Master's in Big Data, Data Engineering, or any data-related field, desired.At least 3 years of professional experience in Software Development/Data Engineering related positions.English proficiency is a must.Advanced knowledge and experience in Software Development (OOP, design patterns, anti-patterns, TDD).Advanced knowledge and ability to write robust code in Python (decorators, PEP8).
#J-18808-Ljbffr