Ngày đăng
01/11/2024
Số lượng tuyển
3
Chức vụ
Nhân viên
Hình thức làm việc
Toàn thời gian cố định
Yêu cầu giới tính
Không yêu cầu
Kinh nghiệm
3 năm
Bằng cấp
Cử nhân
Ngôn ngữ
Không yêu cầu
Ngành nghề
Công nghệ thông tin
Mô tả công việc
Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
Implement and optimize data storage solutions using Microsoft Fabric, Azure Synapse, Azure Data Factory, and other Microsoft data services.
Develop and maintain data models, databases, and data warehouses to ensure data accuracy and availability.
Ensure data quality and integrity through rigorous testing and validation procedures.
Stay updated with the latest trends and best practices in data engineering and analytics.
Implement and optimize data storage solutions using Microsoft Fabric, Azure Synapse, Azure Data Factory, and other Microsoft data services.
Develop and maintain data models, databases, and data warehouses to ensure data accuracy and availability.
Ensure data quality and integrity through rigorous testing and validation procedures.
Stay updated with the latest trends and best practices in data engineering and analytics.
Quyền lợi được hưởng
Benefits
Competitive salary and performance-based bonuses.
Stock sign-on bonuses.
The chance to work with cutting-edge technologies and make a real impact.
Competitive salary and performance-based bonuses.
Stock sign-on bonuses.
The chance to work with cutting-edge technologies and make a real impact.
Yêu cầu công việc
Bachelor’s or Master’s degree in Computer Science, Data, or a related field.
5+ years of experience in data engineering, with a strong focus on Microsoft data analytics solutions.
Proficiency in SQL, Python, and other programming languages relevant to data engineering.
Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Excellent problem-solving skills and attention to detail.
Experience with big data technologies such as Databricks, Hadoop and Spark.
Knowledge of AI/ML techniques.
Familiarity with data governance and security best practices.
5+ years of experience in data engineering, with a strong focus on Microsoft data analytics solutions.
Proficiency in SQL, Python, and other programming languages relevant to data engineering.
Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Excellent problem-solving skills and attention to detail.
Experience with big data technologies such as Databricks, Hadoop and Spark.
Knowledge of AI/ML techniques.
Familiarity with data governance and security best practices.
Địa điểm làm việc
48 Bích Câu, Đống Đa, Hà Nội
CÔNG TY TNHH DATAPOT
Địa chỉ:
48 Bích Câu, Đống Đa, Hà Nội
Quy mô:
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