Job description

About Us "> Capgemini is a global leader in consulting and digital transformation. We help our clients navigate the complex world of technology and data to drive business success. "> Job Description "> The Technical Lead for Azure Data Engineering will be responsible for leading the design, implementation, and maintenance of large-scale data processing pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Synapse Analytics, and Databricks. "> Responsibilities "> • Design and implement scalable data processing pipelines, data warehouses, and data lakes using Azure services. • Work closely with clients to understand their business needs and deliver innovative data engineering solutions. • Maintain and improve existing data engineering solutions to ensure optimal performance and scalability. "> Requirements "> • 8+ years of professional experience in data engineering with a strong focus on cloud-based architectures. • Demonstrated expertise in designing and implementing scalable data processing pipelines, data warehouses, and data lakes using Azure services. • Strong knowledge of SQL and experience with Python programming language. • Familiarity with Agile methodologies and experience working in a global delivery model. "> Benefits "> • A competitive salary package that includes benefits such as medical, prescription, dental, and vision coverage. • A generous 401(k) savings plan with a 150% match up to 6%. • Tuition reimbursement of up to $12,000 per year. • A comprehensive mobile phone plan. "> EEO Statement "> Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

Requirements