Azure Data Engineer - Lisbon hybrid model

Oeiras, Portugal

Boost IT

Ligamos pessoas e os seus objectivos.

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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 and implement efficient data pipelines and ETL processes using Azure Data Factory
  • Develop and maintain data models and databases in Azure SQL Database or Azure Cosmos DB
  • Optimize data storage and retrieval for performance and cost efficiency
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs
  • Monitor and troubleshoot data processing and integration workflows to ensure data quality and reliability

Requirements

  • At least 5 years of experience in a data engineering;
  • B.S. or M.S. in Computer Science, Data Science, or a related field;
  • Experience working with the following stack: Microsoft Fabric, Azure SQL Server, Event Hubs, Data Lake, Cosmos DB, Data Factory and Databricks;
  • Experience working with Python, Spark and SQL;
  • Experience working ETL, Data Lakes, Data Warehousing concepts and methodologies;
  • Experience with Azure Databricks with Delta Live Tables;
  • Knowledge of Agile development methodologies and experience working in a team-based environment;
  • Experience with data modelling and schema design;
  • Fluency in English (both written and spoken).

Plus:

  • Experience with bicep (or experience with other IaC scripting as Terraform);
  • Microsoft Fabric Certificated
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Azure Computer Science Cosmos DB Databricks Data pipelines Data quality Data Warehousing Engineering ETL Pipelines Python Spark SQL Terraform

Region: Europe
Country: Portugal
Job stats:  3  0  0
Category: Engineering Jobs

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