Job Description

Welcome! You made it to the job description page! Aryng is looking for a Senior Data Engineer with experience in developing enterprise-class distributed data engineering solutions on the cloud. We are seeking an entrepreneurial and technology-proficient Senior Data Engineer who is an expert in the implementation of a large-scale, highly efficient data platform, batch, and real-time pipelines and tools for Aryng clients. This role is based out of India. You will work closely with a team of highly qualified data scientists, business analysts, and engineers to ensure we build effective solutions for our clients. Your biggest strength is creative and effective problem-solving. Key Responsibilities: Should have implement asynchronous data ingestion, high volume stream data processing, and real-time data analytics using various Data Engineering Techniques. Implement application components using Cloud technologies and infrastructure. Assist in defining the data pipelines and able to identify bottlenecks to enable the adoption of data management methodologies. Implementing cutting edge cloud platform solutions using the latest tools and platforms offered by GCP, AWS, and Azure. (AWS is preferred) Functional capabilities : Requirement gathering, Client Mgt, team handling, Program delivery, Project Management (Project Estimation, Scope of Project, Agile methodology). 8+ years of data engineering experience is a must. 4+ years implementing and managing data engineering solutions using Cloud solutions GCP/AWS/Azure or on-premise distributed servers. AWS is preferred. <