Responsible for designing, implementing, and maintaining our data infrastructure. Hre/ She will work closely with cross-functional teams to collect, process, and analyze medium to large datasets, enabling the development of scalable and efficient data pipelines and solutions. An expertise in ETL processes will be crucial in transforming raw data into valuable insights for our organization and our clients.
Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
Design and develop robust and efficient data pipelines, ETL processes, and data warehousing solutions.
Implement data integration strategies, ensuring data quality, reliability, and consistency.
Optimize data workflows and performance, identifying and resolving bottlenecks and inefficiencies.
Work closely with software engineers, data scientists, and other team members to support data-driven initiatives.
Stay updated with emerging technologies and best practices in data engineering, particularly in ETL processes.
Bachelor's degree in computer science, Information Technology, or related field (or equivalent experience
Strong knowledge pf database system, data modeling, SQL, and proficiency in ETL Process
Proficiency in Programing language such as Phyton, or C# NET in Visual Studio IDE
Job Type: Full-time
