Lead Data Engineer (Azure Data Factory, Azure Synapse) (225-923)

We are seeking a highly skilled and experienced Lead Data Engineer to join our cutting-edge team. The ideal candidate will possess extensive knowledge and hands-on experience with Azure Data Factory and Azure Synapse, serving as a pivotal figure in designing, implementing, and optimizing our data systems. You will be responsible for leading a team of data engineers to manage large volumes of data, ensuring data availability, accuracy, and security. You will play a critical role in transforming raw data into actionable insights, which are crucial for strategic decision-making and enhancing business outcomes. If you are passionate about leveraging cloud technologies and driving innovations in data engineering, we invite you to apply for this exciting opportunity.

Responsibilities

• Lead and mentor a team of data engineers in various projects.
• Design and maintain efficient data pipelines using Azure Data Factory.
• Develop and optimize data architectures on Azure Synapse Analytics.
• Integrate diverse data sources to ensure accurate and consistent data availability.
• Collaborate with data scientists to implement advanced analytical models.
• Manage data storage solutions to meet scalability and performance requirements.
• Ensure data security and compliance with industry standards and regulations.
• Oversee troubleshooting and performance tuning of data systems and processes.
• Conduct assessments and build frameworks for data governance practices.
• Maintain comprehensive documentation of data flow processes and system architectures.
• Stay updated with emerging trends and technologies in data engineering and cloud computing.
• Facilitate knowledge transfer and training sessions for team members and stakeholders.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Extensive experience in data engineering, focusing on Azure platforms.
• Proven expertise in Azure Data Factory and Azure Synapse Analytics.
• Strong understanding of data modeling, ETL concepts, and practices.
• Proficiency in programming languages such as SQL, Python, or Scala.
• Experience with data governance and data quality management methodologies.
• Excellent problem-solving skills and attention to detail in data solutions.