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Azure Data Engineer

Lisboa

Job description

We are looking for a highly experienced Azure Data Engineer to join our team. The ideal candidate will have native-level Portuguese proficiency, advanced English skills, and be prepared to work in a hybrid model. This role requires deep expertise in Azure data tools and a passion for creating scalable, efficient, and secure data solutions.

Key Responsibilities:

Design, develop, and maintain data pipelines and solutions using Azure technologies such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

Collaborate with cross-functional teams to gather data requirements and translate them into technical specifications.

Optimize data storage, transformation, and retrieval processes to ensure performance and cost efficiency.

Implement best practices for data security, governance, and compliance.

Troubleshoot and resolve issues in Azure-based data systems.

Stay up-to-date with advancements in Azure and cloud technologies to enhance the organization's data capabilities.

Requirements

+3 years of experience in role

Proven experience in developing and maintaining secure and efficient data pipelines using technologies such as Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, Azure SQL

Strong programming skills and orientation in languages such as PySpark and SQL

Design, implement and optimize SQL processes, functions, stored procedures to meet data analysis and processing needs

Ability to collaborate with data scientists and other data engineers to ensure data quality and integrity

Implement BI modeling solutions to support data-driven decision making

Monitor and improve the performance of ETL and ELT data transformation processes

Experience in projects with new data architectures focused on the Cloud and supported by systems such as Lakehouses

Follow the good practices defined for each technology and critical sense to improve

Sense of responsibility in responding to teams and hierarchies

Consulting-oriented stance

We Value:

Knowledge of other technologies such as SQL Server, SSIS, SSAS, SSRS, more focused on onPremise systems

Other data-adjacent technologies such as Azure Logic Apps, Functons, Key Vault, Log Analytics, etc. are highly valued

Ability to analyze project needs in the technical component

Implementation of other activities outside the engineering domain such as modeling and visualizations

Knowledge of PowerBI (semantic modeling and DAX) is highly valued

Knowledge of other technologies such as Snowflake, DBT, Airflow or other Cloud Providers is valued

Knowledge of DevOps and CI/CD practices for data pipelines

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