Data Engineer Python/ Cloud/ AWS/ SQL/ ETL

Infrastructure Management:

Implement and manage data storage solutions, including databases and data lakes, ensuring data integrity and performance.
Design, develop, and maintain robust and scalable data pipelines to handle large datasets using both on- premise and cloud platforms (e.g., AWS, GCP, Azure).

Data Integration:

Ensure data consistency, quality, and reliability through rigorous validation and transformation processes.
Integrate data from various internal and external sources such as databases, APIs, flat files, and streaming data.

ETL Development:

Develop and implement ETL (Extract, Transform, Load) processes to automate data ingestion, transformation, and loading into data warehouses and lakes.
Optimize ETL workflows to ensure efficient processing and minimize data latency.

Data Quality & Governance:

Develop data governance frameworks and policies to manage data lifecycle, metadata, and lineage.
Implement data quality checks and validation processes to ensure data accuracy and completeness.

Collaboration and Support:

Work closely with data scientists, AI engineers, and developers to understand their data needs and provide technical support.
Facilitate effective communication and collaboration between the AI and data teams and other technical teams.

Continuous Improvement:

Identify areas for improvement in data infrastructure and pipeline processes.
Stay updated with the latest industry trends and technologies related to data engineering and big data

Yêu cầu công việc

Strong knowledge of data storage solutions and databases (e.g., SQL, NoSQL, data lakes).
Proven experience with on- premise and cloud platforms (AWS, GCP, Azure).
Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
Led the design and development of high- performance AI and data platforms, including IDEs, permission management, data pipelines, code management and model deployment systems.
Excellent problem- solving skills and attention to detail.
Managed on- premise Spark cluster for hands- on big data processing- focuses on both deployment and usage.
Awareness of security best practices in data environments.
Experience with big data technologies (e.g., Apache Spark, Hadoop).
Understanding of data engineering and MLOps methodologies.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. A Master’s degree is a plus.
Proficiency in scripting and programming languages (e.g., Python, SQL, Bash).
Strong background in data integration, ETL processes, and data pipeline development.
5+ years of experience in data engineering or a similar role.

Tại sao bạn sẽ yêu thích làm việc tại đây

Tham gia BHXH, gói Bảo hiểm sức khoẻ nhân viên và người thân.
Phụ cấp ăn trưa, gửi xe, điện thoại, công tác phí. Cung cấp Macbook, điện thoại từ thời gian thử việc
Thử việc 02 tháng, nhận 100% lương thử việc. 14 ngày phép/năm, tính theo tháng làm việc thực tế.
Thưởng tháng 13, hiệu quả công việc, thưởng lễ/Tết, quà tết.
Teambuilding, du lịch hằng năm. Happy hours, Snack & Cafeteria hàng tháng tại văn phòng.
Thời gian làm việc: Từ thứ Hai đến thứ Sáu: 08h – 17h00 ( Linh hoạt 8h/ngày)

Cập nhật gần nhất lúc: 2025-10-16 16:30:02