- Country/Region: Portugal
- State/Province/County: Lisbon
- City: Lisbon
- Country/Region: Serbia
- State/Province/County: Belgrade
- City: Novi Belgrade
- Country/Region: Croatia
- State/Province/County: City of Zagreb
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Lead Data Engineer - Porto, Portugal - Siemens Energy
Descrição
Lead Data Engineer
About the Role
Location Portugal Porto Porto• Manage the data pipeline, connectivity and data transformation integrating machine learning models to optimize data pipelines to support projects.
• Use state of the art technologies to acquire, ingest and transform big datasets, as well as using Python and SQL daily.
• Responsible for the infrastructure models to catch data from the source, setting up requirements to extract data from restricted knowledge.
• Responsible for the target database system and own data warehousing process.
• Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models.
• Progress work on ETL chains and jobs.
• Create and manage data environments in the cloud or on premise.
• Ensure information security standards are always maintained.
• Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients.
• Stay up to date with the latest developments in data science principle and with state-of-the-art technology to best support the business in making truly data driven decisions What You Bring / skills, capabilities
• Knowledge of software engineering concepts and an understanding of best practices.
• Experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data, as well as experience preparing data for analytics and following a data science workflow.
• Understand the peer review process and state of the art tech documentation.
• Understand issues regarding connectivity, data transformation and be able to integrate Machine Learning (ML) models.
• Extensive experience on IT infrastructure related connectivity topics including but not limited to IP, VLAN, VPC, VPN.
• Experience in creating and designing ETL chains.
• Experience within serverless (python, .net) with knowledge on how to deal with data warehousing systems and understand how to set up the target database system.
• Experience in preparing data for analytics and following a data science workflow.
• Experience in workflow orchestration tools.
