Job description

We are working with a client headquartered in Illinois to identify a Lead Azure Cloud Data Engineer to oversee a team of Data Engineers. The ideal candidate aligns with the responsibilities and qualifications outlined below. Responsibilities • Design, develop and implement scalable and efficient data solutions on the Azure platform. • Manage the development and deployment of data pipelines, data storage solutions, and data processing workflows. • Collaborate with cross-functional teams to identify and solve complex data engineering problems. • Develop and maintain data governance policies, procedures, and standards. • Provide technical guidance and leadership to the team of data engineers. • Monitor and optimize data systems performance to ensure high availability, reliability, and scalability. • Continuously explore new technologies and tools to improve data engineering practices and processes. • Participate in code reviews, design sessions, and other team activities. • Communicate effectively with stakeholders and team members, both verbally and in writing. Qualifications • 5+ years of experience in data engineering, with at least 3 years of experience on the Azure platform. • Proven track record of leading the design and development of complex data solutions. • Strong proficiency in Azure data services, including Azure Data Factory, Azure Databricks, Azure Cosmos DB, and Azure Synapse Analytics. • Experience with data integration, data warehousing, and ETL/ELT processes. • Strong programming skills in Python, Java, or Scala. • Knowledge of data governance, security, and compliance. • Experience with Agile software development methodologies. • Strong analytical and problem-solving skills.

Requirements