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A Boost IT é uma consultora tecnológica portuguesa, integrada num grupo empresarial que oferece um portfólio de soluções inovadoras no mercado das tecnologias cada vez mais exigente e dinâmico.
Somos conhecidos por sermos a empresa mais dinâmica, energética e confiável a atuar no mercado.
A equipa de gestão tem mais de 10 anos de experiência a entregar soluções tecnológicas em Portugal e a nível Internacional.
Os nossos clientes podem contar com um parceiro líder em serviços de excelência, flexibilidade e capacidade de entrega associada a elevados padrões de qualidade.
Somos apaixonados por pessoas que são apaixonadas por tecnologia.
Viemos para dar um BOOST ao mercado.
Boost IT is a Portuguese technology consultancy company, we are integrated into one of the most entrepreneurial groups in Portugal, with investment in more than 30 companies.
We want to be known for being the most dynamic, energetic and reliable company to operate in the market and, for that, we want to count on you.
If you're passionate about technology and want to work on the most relevant technology projects, then this ad could be for you!
Boost IT. Doing IT. Better
Tasks
Design, build, and maintain scalable data pipelines on Azure cloud platform.
Work with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other Azure tools to process and transform large datasets.
Implement and manage Spark-based data processing solutions.
Work with Snowflake for data storage, data sharing, and performance optimization.
Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
Optimize and fine-tune data workflows to ensure high availability and performance.
Provide technical leadership and mentoring to junior data engineers.
Requirements
Proven experience as a Data Engineer with a strong focus on Azure cloud technologies.
Hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse, and Azure SQL.
Deep knowledge of Spark and Snowflake (including architecture, optimization, and performance tuning).
Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Expertise in SQL, Python, or similar programming languages.Solid experience with big data technologies and distributed computing.
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.