Senior Azure Data Engineer

Senior Azure Data Engineer 

Requirements:  

• At least 6 years of professional experience in the Data & Analytics area
• 1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have).
• Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
• Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have).
• Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders.
• Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps).
• Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support.
• Knowledge of data management principles and best practices, including data governance, data quality, and data integration.
• Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.
• Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.
• Knowledge of data orchestration tools.
• Experience in designing and creating integration and unit tests will be nice to have.
• Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.
• Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus.