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CMC TS
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Data Engineer
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Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
04/07/2024
Hạn nộp hồ sơ:
04/08/2024
Hình thức:
Toàn thời gian
Kinh nghiệm:
Trên 3 năm
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
Địa điểm làm việc
- Địa điểm làm việc: Hồ Chí Minh
We are seeking a highly skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for developing, implementing, and maintaining data solutions using various technologies and platforms. Your key responsibilities:
Design, develop, and maintain data pipelines and workflows
Implement data transformations, ensure optimal performance and scalability
Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
Develop efficient and robust ETL processes to extract, transform, and load data from various sources
Build and maintain data models, ensuring data integrity and quality
Implement and optimize data storage solutions, leverage its capabilities for scalability, reliability, and security
Collaborate with cross-functional teams
Monitor and optimize data pipelines for performance, reliability, and cost-effectiveness
Stay up-to-date with the latest trends and technologies in the field of data engineering and recommend improvements to existing systems and processesBachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus
At least 3 years of experience as a Data Engineer or similar role
Familiarity with Data Lakehouse Architecture concepts, principles, and best practices
Experience with Azure: ADF, Databricks, SQL DW, Azure Functions, Serverless Architecture
Proficient in working with Azure blob storage for scalable and secure data storage
Hands-on experience with Delta Lake for managing big data workloads efficiently
Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
Proficiency in Python for scripting and automation tasks
Knowledge of real-time data processing tools and frameworks (e.g., Apache Kafka, Apache Flink) for streaming data
Experience with data visualization tools (e.g., Tableau, Power BI)Opportunities for promotions and career development in a dynamic environment
Premium Health Insurance package (Inpatient VND 70m/year, Outpatient VND 10.5m/year and Dental Treatment VND 2.5m/year)
Many exciting internal activities and meaningful corporate social responsibility (CSR)
Yearly company trip
Working 5 days/week, from Monday to Friday, off on Saturday and Sunday
Review salary & level quarterly
13rd salary, 12-15-day annual leaves, 5 sick leave days
"Share to learn and learn to share" philosophy, friendly working environment with many energetic buddies
Design, develop, and maintain data pipelines and workflows
Implement data transformations, ensure optimal performance and scalability
Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
Develop efficient and robust ETL processes to extract, transform, and load data from various sources
Build and maintain data models, ensuring data integrity and quality
Implement and optimize data storage solutions, leverage its capabilities for scalability, reliability, and security
Collaborate with cross-functional teams
Monitor and optimize data pipelines for performance, reliability, and cost-effectiveness
Stay up-to-date with the latest trends and technologies in the field of data engineering and recommend improvements to existing systems and processesBachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus
At least 3 years of experience as a Data Engineer or similar role
Familiarity with Data Lakehouse Architecture concepts, principles, and best practices
Experience with Azure: ADF, Databricks, SQL DW, Azure Functions, Serverless Architecture
Proficient in working with Azure blob storage for scalable and secure data storage
Hands-on experience with Delta Lake for managing big data workloads efficiently
Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
Proficiency in Python for scripting and automation tasks
Knowledge of real-time data processing tools and frameworks (e.g., Apache Kafka, Apache Flink) for streaming data
Experience with data visualization tools (e.g., Tableau, Power BI)Opportunities for promotions and career development in a dynamic environment
Premium Health Insurance package (Inpatient VND 70m/year, Outpatient VND 10.5m/year and Dental Treatment VND 2.5m/year)
Many exciting internal activities and meaningful corporate social responsibility (CSR)
Yearly company trip
Working 5 days/week, from Monday to Friday, off on Saturday and Sunday
Review salary & level quarterly
13rd salary, 12-15-day annual leaves, 5 sick leave days
"Share to learn and learn to share" philosophy, friendly working environment with many energetic buddies
Khu vực
Quy mô:
500 - 1.000 nhân viên
Địa điểm:
Tầng 4, Tòa nhà 25T2, Đường Nguyễn Thị Thập, Phường Trung Hoà, Quận Cầu Giấy, Hà Nội
Tổng Công ty Công nghệ và Giải pháp CMC (CMC TS) được thành lập trên sự hợp nhất năng lực, kinh nghiệm 4 công ty thành viên thuộc Tập đoàn CMC. CMC TS hiện là Top 1 đối tác tư vấn và cung cấp, triển khai giải pháp Chuyển đổi số, Bảo mật, Cloud cho tổ chức và doanh nghiệp tại Việt Nam.
CMC TS kế thừa gần 30 năm phát triển và xây dựng các giải pháp tích hợp từ CMC SI, năng lực phát triển và triển khai phần mềm từ CMC Software, nhà cung cấp dịch vụ CNTT và tích hợp số 1 ở thị trường phía Nam CMC SISG cùng nhà cung cấp các giải pháp an ninh an toàn thông tin hàng đầu Việt Nam của CMC Cyber Security.
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