Data Engineer

-Collaborate with users and project team on requirements and expectations -Analyze business requirements, create proper data solutions that meets functional and non-functional requirements -Design and implement highly scalable and robust data pipelines in Scala/Spark/Java for processing of extreme large amount of data -Create and maintain reusable frameworks for data ingestion, validation, normalization, and transformation -Create scripts for test automation, CI/CD, data migrations, data validations -Provide technical support for incident recovery Requirements -Minimum 3~6 years of working experience as developer or data engineer -Strong programming skills and has software development experience in Scala, Java or Python -Deep understanding of distributed systems (Hadoop, Spark, etc.)

and its optimization -Experience in public cloud technologies, preferably Azure -Good knowledge of Oracle database, MS-SQL Server, Linux, networking -Proficient in SQL, shell scripting, git, unit testing, CI/CD tools -Understanding of design principles, coding standards and best practices -Strong learning ability and problem-solving skills -Excellent communication, presentation, and interpersonal skills Preferable: -Understanding of REST API, NoSQL, micro-services, ETL -Hand-on experience with Cloud services is preferred -Understanding of streaming data processing and change data capture is preferred -Experience with BI tools is preferred