Data Engineer

Company:
Location: Lisboa

*** Mention DataYoshi when applying ***

About us:

We are an international company with offices in the US, UK, and Portugal. The Virtual Forge works with organizations to create digital and technology platforms to drive transformation, develop capabilities, and deliver digital and transactional experiences that build business around the world.

You will be based in our beautiful riverside office in Lisbon (once the current situation allows it).


Role Overview:

We are seeking a Data Engineer to join our growing team. This person will be responsible for working across several Data Warehousing, Reporting, and Data Integration projects, assisting with the development of data best practices and governance, building reporting infrastructure, creating ad-hoc reports, and helping to optimize data flow and collection.

The ideal candidate has knowledge of, experience with, and is excited to learn about all aspects of data from multiple complex sources and domains, and who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our developers, database architects, data analysts, and data scientists, and will ensure optimal data delivery architecture is consistently present across projects. They will also support non-technical colleagues in the collection and appropriate use of data. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by data, cross system integration, traditional and non-traditional forms of ETL.



Duties and Responsibilities:

  • Data Modeling – Evaluate structured and unstructured data, determine the most appropriate schema for new tables, fact tables, data marts, etc.

  • Data Integration – Incorporate new business and system data into client Data Warehouses while maintaining enterprise best practices and adhering to data governance standards.

  • ETL and Reporting – Apply business rules to data to migrate from source to target using ETL tools or scripting languages. Validate data to ensure quality. Collaborate with colleagues across the enterprise to scope requests. Extract data from various data sources, validate results, create relevant data visualizations, and share with requesters. Develop dashboards and automate refreshes as appropriate.

  • Governance / Best Practices – Adhere and contribute to enterprise data governance standards. Assemble large, complex data sets that meet business requirements.

  • KPI Development - Develop analytics that utilize data resources to provide actionable insights, operational efficiency and other key business performance metrics.

  • Technical Support - Work with stakeholders including client and internal company teams to assist with data-related technical issues and support their data infrastructure needs.

Essential Skills:

  • Bachelor’s degree in a computer-related field

  • 3+ years of experience building and troubleshooting ETL pipelines, experience with healthcare-oriented or otherwise sensitive data preferred, familiarity with HIPAA a plus

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

  • A successful history of manipulating, processing, and extracting value from large disconnected datasets.

  • Strong communication and organizational skills.

  • Strong analytic skills related to working with structured and unstructured datasets.

  • RDBMS - strong skills in SQL, Microsoft SQL Server experience preferred

  • Proficient in an object-oriented programming language in a data engineering capacity


Preferred Skills:

  • Exposure to Big Data and Hadoop

  • Exposure to stream-processing systems

  • Exposure to object-oriented/object programming: Python, Java, etc

  • Exposure to visual analytics tools: QlikSense, Tableau, Power BI, etc.

  • Data Science / Machine Learning experience

  • Familiarity with Agile methodology for development

  • Willingness to work according to United States hours (Eastern Timezone)


What do you need to do:

  • Send your CV in English to <endereço ocultado>

  • Gross Salary expectation and availability



At The Virtual Forge, we have a dedicated recruitment team that works globally to fill all our recruitment needs. Therefore we don't need a response from recruitment companies. Thanks for understanding.

Poderá encontrar o anúncio original publicado em: https://www.itjobs.pt/oferta/379124/data-engineer

*** Mention DataYoshi when applying ***

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