Responsibilities:

• Design, build, and maintain robust data pipelines and ETL processes in Azure, leveraging tools such as Databricks, Azure Data Factory, and Azure Synapse Analytics
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Optimize data workflows and infrastructure for performance, scalability, and reliability
• Implement data governance and security best practices to ensure data integrity and compliance
• Develop and maintain documentation for data pipelines, systems, and processes
• Stay updated on the latest Azure technologies and best practices in data engineering and share knowledge with the team

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field
• Minimum of 5 years of experience in data engineering, with a strong focus on Azure cloud technologies
• Expertise in Azure tools such as Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database
• Proficiency in programming languages such as Python, SQL, or Scala
• Solid understanding of data management concepts, including data modeling, ETL, and data warehousing
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively

Preferred Qualifications:

• Experience with other cloud platforms such as AWS or GCP
• Knowledge of big data technologies such as Apache Spark and Hadoop
• Certification in Azure or related technologies
• Experience working in Agile/Scrum environments