Num relance
- Tarefas: Construa e mantenha pipelines de dados em ambientes AWS ou GCP.
- Empresa: Capgemini, parceiro de transformação empresarial na era da IA.
- Benefícios: Ambiente multicultural, equilíbrio entre vida profissional e pessoal, e programas de crescimento de carreira.
- Outras informações: Acesso a formações valiosas e oportunidades de trabalho híbrido.
- Porquê este emprego: Trabalhe em projetos emocionantes e desenvolva suas habilidades em tecnologias de ponta.
- Qualificações: 4 anos de experiência em engenharia de dados e proficiência em Python e SQL.
O salário previsto situa-se entre 90000 - 110000 € por ano.
4 years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications. Your Profile
4 years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications.
Proficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes Degree in computer science, software engineering, or in engineering domains.
Proficient in Python and one additional programming/querying language used for data engineering Java, SQL, No SQLs or similar.
Hands-on experience with cloud platforms like AWS or GCP or Azure Knowledge and Hands-on experience either with cloud platforms (AWS, GCP, or Azure), or in Linux OS.
Experience with Devops and CI/CD.
Strong understanding of data modeling, both SQL and No SQL, with expertise in distributed systems design.
Experience with big data technologies such as, Spark or other distributed processing technologies and familiarity with tools like Airflow for workflow orchestration.
Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance.
Excellent communication skills and the ability to collaborate effectively in cross-functional teams.
Analytical mindset, attention to detail, and problem-solving skills to address complex data challenges.
Familiarity with Standard AI/ML processes & Operations is greatly valued.
Fluency in English is mandatory, and proficiency in additional languages advantageous.
What You'll Love About Working
Join a multicultural and inclusive team environment.
Enjoy a supportive atmosphere promoting work-life balance.
Hybrid work.
Your career growth is central to our mission.
Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
Access valuable training and certifications in cutting-edge technologies.
Engage in exciting national and international projects.
Health and life insurance.
Referral program with bonuses for talent recommendations.
Great office locations.
About Capgemini
Capgemini is the business transformation partner for enterprises in the age of AI.
We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow.
With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale.
Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries.
Empregador para Data Engineer AWS or GCP in Fundão: Capgemini Engineering
A Capgemini Engineering é um excelente empregador, oferecendo um ambiente de trabalho híbrido que promove a colaboração global e a inovação. Com um forte foco no crescimento profissional, os colaboradores têm acesso a oportunidades de desenvolvimento contínuo e a um suporte robusto em projetos desafiadores no setor das telecomunicações. A cultura de trabalho valoriza a personalização de soluções e a automação, permitindo que os engenheiros contribuam significativamente para o sucesso dos clientes enquanto trabalham em tecnologias de ponta.
Dados de contacto:
Equipa de recrutamento de Capgemini Engineering
