Check with seller Việc làm Quận 3, Hồ Chí Minh tuyển gấp Data Engineer Thành Phố Hồ Chí Minh

Mô tả công việc What you will do: Create and maintain optimal data pipeline architecture. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Identify, design, and implement internal process improvements: automating manual processes, optimizing data query delivery, redesigning infrastructure for scalability. Build the Data Infrastructure required for optimal ETL (or ELT) framework from internal and external resources that meets the business requirement. Work with data analysts and business partners to build key important dashboards. Quyền lợi được hưởng Why youll love working with us: Very competitive package & 100% probation salary Potential for ESOP MacBook is provided Salary review: Twice per year 13th-month bonus Social Insurance, Premium Healthcare Insurance for employees Dynamic, fast-paced start-up work environment building exciting products Company trip once a year and many exciting activities for team building Free parking, coffee, and tea Opportunity to learn about financial literacy from industry experts to build your own wealth Opportunity to be mentored by a leadership team who has extensive entrepreneurship experience, successfully founding and exciting Tech companies Working hours: Monday to Friday (from 8:30 am to 5:30 pm) Yêu cầu kỹ năng Your skills and experiences: We are looking for a candidate with 1-3 years of experience in a Data Engineer role. Strong analytical skills related to working with unstructured datasets. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (MySQL, Postgresql, etc.) Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets using cloud services: GCP (preferred), AWS, Azure, etc. Experience with OOP languages: Python, Java, Scala, etc. Experience with data pipeline and workflow management tools (Luigi, Airflow, etc.) Experience with big data frameworks is a plus: Hadoop, Spark, Kafka.

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