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Senior Data Engineer, Zalopay
1 week ago
**Trách nhiệm**:
- Có hiểu biết về cấu trúc dữ liệu và quản trị.
- Xây dựng cơ sở hạ tầng cần thiết để trích xuất, chuyển đổi và tối ưu dữ liệu từ nhiều nguồn khác nhau.
- Giám sát hạ tầng dữ liệu
- Thiết kế và duy trì kiến trúc data pipelines.
- Tập hợp các bộ dữ liệu lớn, phức tạp để xây dựng data mart nhằm đáp ứng các yêu cầu nghiệp vụ chức năng/phi chức năng.
- Giao tiếp hiệu quả với nhà phát triển và người dùng doanh nghiệp để hiểu và làm rõ các yêu cầu.
- Hỗ trợ đào tạo nội bộ và tài liệu phù hợp để đảm bảo quá trình hòa nhập thành công của các thành viên mới trong nhóm
- Thực hiện cải tiến quy trình nội bộ: tự động hóa các quy trình thủ công, tối ưu hóa việc phân phối dữ liệu, thiết kế lại cơ sở hạ tầng để có khả năng mở rộng cao hơn, v.v.
- Phát triển phần mềm hiệu quả cho nhiều trường hợp sử dụng Spark và Big Data cho các trường hợp sử dụng khác nhau được xây dựng trên nền tảng
**Yêu cầu**:
- Bằng cử nhân về khoa học máy tính, kỹ thuật, toán tin hoặc chuyên ngành kỹ thuật liên quan.
- Hơn 3 năm kinh nghiệm làm việc với vai trò Kỹ sư dữ liệu, cơ sở hạ tầng dữ liệu và ETL với lượng dữ liệu lớn.
- Có kinh nghiệm về kiến trúc kho dữ liệu và mô hình hóa dữ liệu.
- Có kinh nghiệm sử dụng phần mềm/công cụ sau trong lĩnh vực dữ liệu lớn
- Công cụ dữ liệu lớn: Hadoop, Apache Spark, Presto, Kafka, v.v.
- Cơ sở dữ liệu NoSQL và OLAP: MongoDB, Clickhouse, Elastic search, v.v.
- Các công cụ quản lý data pipelines và quy trình làm việc: Luigi, Airflow, v.v.
- Giỏi các ngôn ngữ lập trình: Scala, Python, Java.
- Có kinh nghiệm về SRE, Patching & Automation: Kubernetes hoặc Docker & Containerization
- Có kinh nghiệm trong quá trình kiểm tra dữ liệu.
- Có kinh nghiệm trong root cause analysis, Identify problems and propose recommendations
- Kiến thức cơ bản về các khái niệm và nền tảng điện toán đám mây hiện đại (ex: AWS S3, Redshift, EMR, EC2,..) là một lợi thế.
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