- 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.
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Lead Data Engineer - Porto, Portugal - Siemens Energy
Descrição
Lead Data Engineer About the Role Location Portugal Porto Porto Country/Region: PortugalState/Province/County: LisbonCity: LisbonCountry/Region: SerbiaState/Province/County: BelgradeCity: Novi BelgradeCountry/Region: CroatiaState/Province/County: City of ZagrebCity: Zagreb Company Siemens Energy Unipessoal Lda.
Organization EVP Global Functions Business Unit Enterprise Data & Advanced Analytics Full / Part time Full-time Experience Level Experienced Professional A Snapshot of Your Day We're looking for a Lead Data Engineer to join the new business operations team in ED&AA (Enterprise Data and Advanced Analytics).
In a typical day you will be meeting colleagues in the business who are seeking solutions to new data challenges, to understand their challenges and devising an appropriate, high-quality architecture for engineers to implement.
You will be also communicating with data engineering, AI, data science and data visualization colleagues on live projects, advising and trouble-shooting the implementation.
How You'll Make an Impact / Responsibilities
