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Data Engineer at Aryng. Welcome! You made it to the job description page!. Aryng. is looking for a . Data Engineer. with experience in developing enterprise-class distributed data engineering solutions on the cloud. We are seeking an entrepreneurial and technology-proficient . 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).. 3-5 years of data engineering experience is a must.. . 3+ years implementing and managing data engineering solutions using Cloud solutions GCP/AWS/Azure or on-premise distributed servers. . AWS is preferred.. . . Should be comfortable working and interacting with clients. . 2+ years’ experience in Python.. . Must be strong in SQL and its concepts.. . Experience in Big Query, Snowflake, Redshift, DBT.. . Strong understanding of data warehousing, data lake, and cloud concepts.. . Excellent communication and presentation skills. . Excellent problem-solving skills, highly proactive and self-driven. . Consulting background is a big plus.. . Must have a B.S. in computer science, software engineering, computer engineering, electrical engineering, or a related area of study. . Working knowledge of Airflow is preferred. . Good to have:. . Experience in some of the following: Apache Beam, Hadoop, Airflow, Kafka,Spark. . Experience in Tableau, Looker, or other BI tools is preferred. . Availability:. Available to join immediately. This role requires mandatory overlap hours with clients in the US from 8 am to 1 pm PST.. Company Location: India.