Data Engineer
1 semana atrás
If so, it's at Red IT that you should embrace your next challenge
We took our first steps in Innovation and Technology in 2016, and the desire to do more and better is always with us.
Red.it stands as a key element within Group RIT, a collaboration of technological enterprises focused on accelerating business growth through digital transformation.
Our teams are experienced and certified IT professionals that work closely with clients to provide fit-for-purpose solutions.
From software development, next-generation cloud services, support in IT projects across multiple technological stacks, IT outsourcing, and many more, Group RIT will use the most advanced technology to accelerate and unleash the full potential of our client's business.
With 6 Business Units, 11 offices in 8 countries, and a global team of over 500 people, Group RIT is leading digital innovation, providing innovative solutions for multiple business sectors like Telecom, Healthcare, Finance, Retail, and Manufacturing.
Red.it is dedicated to fostering a workplace that embraces diversity and inclusion.
As an equal opportunity employer, it does not discriminate based on race, national origin, gender, gender identity, sexual orientation, disability, age, or any other legally protected status.
We believe in creating an environment where all individuals are respected and valued for their unique perspectives and contributions.
Join the Wolfpack as a Data Engineer (Hybrid - Lisbon)
What skills do you need to have?
1. +5 years' in Data Analysis, Business Intelligence, or Data Engineering
2. Advanced expertise in Microsoft Power BI and SQL Server
3. Experience in executing ETL, Reports, Dashboards, and KPIs
4. We value experience with Azure Data Factory, Azure Databricks
5. English proficiency
Some of your responsibilities will be:
1. Creating blueprints for data flow and integration within analytics platforms
2. Execute end-to-end ETL processes, ensuring accuracy and efficiency in data transformation.
3. Collaborate with cross-functional teams to gather data requirements and provide analytical solutions.
4. Strong understanding of data modeling principles and practices
5. Design scalable and efficient architectures for data processing and analysis
WHAT DRIVES YOU?
Apply here or through ****** and find out what moves us at www.redit.pt
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