Data Engineer (onsite US 3 tháng)

Design, develop, test, and deploy new ETL pipelines or enhancements to existing pipelines using Talend in Big Data environment - Perform application software development, which includes new development, maintenance and support of applications and provide production support Translate functional requirements into technical designs - Perform end to end automation of ETL process for various datasets that are being ingested into the big data platform - Develop and integrate software applications using suitable development methodologies and standards, applying standard architectural patterns, considering critical performance characteristics and security measures - Resolve customer complaints with data and respond to suggestions for improvements and enhancements - Recommend strategies for technical aspects of projects as well as broad system improvements - Ensures adherence to established standards and may consult with senior managers on technology solutions

Package: at least 13 months/ year. Review twice per year. - Bonus: Tet bonus, project bonus, holiday bonus, HR referral bonus... - Participate in learning and training activities inside and outside the company, accumulate learning points, and develop G points on the company's management system. - Leave Saturday, Sunday + 12 days of leave/year - Clubs and many cultural sports art activities sponsored or supported by the company (For example Football, table tennis, badminton, swimming, music, English, games, etc.) - Ensure health: periodic health checks, support to buy high quality health insurance... - Join the Rikkei Care Health Insurance Plan. - Mental comfort: playing music on demand every day, fresh fruit, team building activities... Going out near and far everywhere - Opportunity to work abroad and travel around.

From 6 years of experience as a Data Engineer working in the IT industry. - Bachelor’s degree in Computer Science/ Software Engineering, Mathematics - Experience with migration Data - Knowledge of concept PII/PHI in healthcare domain - Must have experiences/ knowledge in Linux, ETL pipelines, DataBrick, Python, SQL - Experience in working with Cloud services: AWS - Nice to have experiences in Java, Airflow, GCP Git, Databricks - Familiar with CI/CD pipelines, Docker, new Data tech and tools (Tableau, PowerBI) - Strong experience with data manipulation tools and frameworks such as Apache Spark, or Apache Kafka - Good understanding of data science and machine learning concepts, with experience implementing Data Models, Data Warehouse - Analytical thinking, Teamwork, Automation mindset - Good English communication skills