Kiểm tra với người bán Việc làm tuyển gấp Data Engineer

Mô tả công việc Responsibilities and Duties Assemble large, complex data sets that meet functional / non-functional business requirements. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create and maintain optimal data pipeline architecture. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with data and analytics experts to strive for greater functionality in our data systems. Quyền lợi được hưởng Learn and develop one of the latest data stacks Participating in creating sustainable benefits for Vietnam's agriculture. Together with Vietnamese farmers, bring green and clean products at reasonable prices to everyone. Competitive salary and bonus regime Friendly and result oriented working environment Yêu cầu kỹ năng Skills Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Experience supporting and working with cross-functional teams in a dynamic environment. A successful history of manipulating, processing and extracting value from large disconnected datasets. Experience with data pipeline and workflow management tools: Airflow, Airbytes, dbt. Experience with stream-processing: Debezium, Kafka. Experience with relational SQL and NoSQL databases, including Postgres and Druid. Experience with GCP cloud services: GCS, BigQuery. Experience with object-oriented/object function scripting languages: Python, Java, Golang. Qualifications Education level: University graduate in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Experience: >2 years’ experience in a Data Engineer role. Personal characteristics: outgoing. Certifications in related fields are not required but preferable.

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