Senior Data Engineer - Azure - Remote - PORTUGAL
Portugal - Remote
Boost IT
[data-gutter="2%"][data-nb="1"]:not(.ckadvancedlayout) [data-width="100"] {width:100%;}[data-gutter="2%"][data-nb="1"].ckadvancedlayout [data-width="100"]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.
Excellent problem-solving and troubleshooting skills.Strong communication and collaboration abilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Big Data Databricks Data pipelines Data Warehousing ETL Pipelines Python Snowflake Spark SQL
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