What you’ll do:

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and other Azure services.
• Build and optimize data models and databases on Azure SQL Database and Azure Data Lake.
• Implement data integration solutions, ensuring data quality and consistency across systems.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
• Monitor and troubleshoot data processes and workflows, ensuring high availability and performance.
• Develop and maintain documentation for data architecture, processes, and workflows.
• Stay updated with the latest Azure data technologies and best practices to continuously improve our data infrastructure.

Your expertise:

• Proven experience as a Data Engineer with a focus on Azure technologies.
• Strong expertise in Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake.
• Experience with data modeling, ETL processes, and data warehousing.
• Proficiency in SQL and familiarity with programming languages such as Python or Spark.
• Knowledge of cloud data architecture and data integration techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Personal attributes:

• Proven ability to work creatively and analytically in a problem-solving environment
• Confidence to express ideas as part of a team
• Excellent communication (written, oral) and interpersonal skills.
• A Self-Starter capable of working under pressure
• Curious and engaged in Continuous Learning and Professional Development