Junior Data Engineer (Azure Data Factory) @ Addepto

What you’ll need to succeed in this role: At least 2 years of hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments. Excellent knowledge of Python (Azure Functions, REST APIs, automation). Strong SQL skills and solid understanding of data modeling for ETL/ELT and data warehousing. Experience with Azure Data Lake Storage, Azure Cosmos DB, and Azure Synapse Analytics is a plus. Ability to work in a fast-paced environment, prioritize tasks, and manage multiple projects simultaneously. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience with Agile development methodologies and version control systems like Git is a plus. Ability to learn and adapt quickly to new technologies and tools. Strong analytical and problem-solving skills, with the ability to identify and troubleshoot issues. Experience with Azure Active Directory, Azure Sentinel, and Azure Security Center is a plus. Ability to maintain confidentiality and handle sensitive information with discretion. Experience with data governance and compliance regulations like GDPR, HIPAA, and CCPA is a plus. Ability to work in a global environment and adapt to changing priorities and deadlines. Experience with cloud-based data platforms like AWS, Google Cloud, and Azure is a plus. Ability to maintain a high level of professionalism and integrity in all interactions.