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Ecv Technology
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Data Solutions Architect
Ecv Technology
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Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
13/11/2023
Hạn nộp hồ sơ:
13/12/2023
Hình thức:
Toàn thời gian
Kinh nghiệm:
Không yêu cầu
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
Địa điểm làm việc
- 13-15-17 Truong Dinh, Vo Thi Sau Ward, District 3, HCM City
Các Phúc Lợi Dành Cho Bạn
We offer competitive salary and benefits container package
We offer company sponsored trainings and certifications
Outstanding career growth and development opportunities
Mô Tả Công Việc
We are an ambitious Data&AI Team committed to delivering exceptional data solutions and services. We are actively seeking a skilled Data Solution Architect to join our team.
As a Data Solution Architect, you will play a vital role in designing, implementing, and maintaining data models and systems. You will work closely with our data team members to extract insights, solve complex problems, and drive innovation in our data solutions.
Key Job Responsibilities:
1. Define policies and establish standards for modelling, structuring, naming, describing, securing, and. formatting data
2. Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
3. Lead efforts to implement a reference data and master data management strategy
4. Architecting and designing Big Data platforms on cloud platform
5. Strong understanding and experience building ELT/ETL solutions for both structured and unstructured data sets.
6. Advising clients on latest big data and analytic technologies
7. Work with business and IT leadership to define and document the data architecture for enterprise data assets
8. Providing Architecture input to pre-sales activities
As a Data Solution Architect, you will play a vital role in designing, implementing, and maintaining data models and systems. You will work closely with our data team members to extract insights, solve complex problems, and drive innovation in our data solutions.
Key Job Responsibilities:
1. Define policies and establish standards for modelling, structuring, naming, describing, securing, and. formatting data
2. Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
3. Lead efforts to implement a reference data and master data management strategy
4. Architecting and designing Big Data platforms on cloud platform
5. Strong understanding and experience building ELT/ETL solutions for both structured and unstructured data sets.
6. Advising clients on latest big data and analytic technologies
7. Work with business and IT leadership to define and document the data architecture for enterprise data assets
8. Providing Architecture input to pre-sales activities
Yêu Cầu Công Việc
1. Minimum of 3 years of professional experience as a Data Engineer/Architect or in a similar role.
2. Solid understanding of machine learning algorithms, data structures, and statistical concepts.
3. Experience with data preprocessing, feature engineering, and model evaluation techniques.
4. Excellent problem-solving skills and the ability to work collaboratively in a team environment.
5. Familiarity with AWS cloud platforms and AWS machine learning services.
6. Machine Learning Algorithms: Strong understanding of various machine learning algorithms, such as regression, classification, clustering, and deep learning. Familiarity with both traditional statistical models and modern deep learning architectures.
7. Machine Learning Frameworks and Libraries: Experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Ability to implement, train, and fine-tune machine learning models using these tools.
8. Model Evaluation and Validation: Proficiency in evaluating machine learning models
9. Data Preprocessing and Feature Engineering: Knowledge of data preprocessing
10. Data Visualization: Matplotlib, Tableau.
11. Cloud Platforms and Services: Amazon Web Services (AWS), Microsoft Azure
12. Collaboration and Communication: Strong interpersonal and communication skills
13. Proficient in both written and spoken English & Vietnamese
2. Solid understanding of machine learning algorithms, data structures, and statistical concepts.
3. Experience with data preprocessing, feature engineering, and model evaluation techniques.
4. Excellent problem-solving skills and the ability to work collaboratively in a team environment.
5. Familiarity with AWS cloud platforms and AWS machine learning services.
6. Machine Learning Algorithms: Strong understanding of various machine learning algorithms, such as regression, classification, clustering, and deep learning. Familiarity with both traditional statistical models and modern deep learning architectures.
7. Machine Learning Frameworks and Libraries: Experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Ability to implement, train, and fine-tune machine learning models using these tools.
8. Model Evaluation and Validation: Proficiency in evaluating machine learning models
9. Data Preprocessing and Feature Engineering: Knowledge of data preprocessing
10. Data Visualization: Matplotlib, Tableau.
11. Cloud Platforms and Services: Amazon Web Services (AWS), Microsoft Azure
12. Collaboration and Communication: Strong interpersonal and communication skills
13. Proficient in both written and spoken English & Vietnamese
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