Chi tiết tin tuyển dụng Software Engineering tại CÔNG TY TNHH DATAPOT

Mức lương Thoả thuận

Hình thức làm việc Toàn thời gian cố định

Giới tính Không yêu cầu

Số lượng tuyển 3 người

Kinh nghiệm 5 năm

Cấp bậc Nhân viên

Địa điểm làm việc

- Hà Nội: 48 Bích Câu, Đống Đa

Mô tả công việc của Software Engineering với mức lương Thoả thuận

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.
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.

Với mức lương Thoả thuận thì cần những yêu cầu công việc gì

Qualifications
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.
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.
Preferred Qualifications:
Experience with big data technologies such as Databricks, Hadoop and Spark. Knowledge of AI/ML techniques. Familiarity with data governance and security best practices.
Experience with big data technologies such as Databricks, Hadoop and Spark.
Knowledge of AI/ML techniques.
Familiarity with data governance and security best practices.

Tại CÔNG TY TNHH DATAPOT thì được hưởng những quyền lợi gì

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.