Data Engineer - Azure (remotely for US client - shift work - Vietnam based only)
December 29, 2025
Open
Open
Location
Vietnam
Occupation
Full-time
Experience level
Mid-level
Job Summary
Vị trí này thuộc công ty Rackspace, làm việc remote tại Việt Nam dành cho khách hàng Mỹ, theo ca. Công việc chính là thiết kế, phát triển, duy trì pipeline dữ liệu thời gian thực sử dụng Spark Streaming hoặc Azure Functions, xử lý log từ Kafka, tích hợp với Redis và data lake, áp dụng các best practice về phần mềm và cộng tác cùng các bộ phận khác.
Ứng viên cần có kinh nghiệm thực tế với Spark Streaming/Azure Functions, thành thạo Python, xử lý Kafka và Redis, biết về kiến trúc data lake và nguyên tắc phần mềm. Kinh nghiệm với Azure là lợi thế. Kỹ năng giải quyết vấn đề cùng khả năng làm việc linh hoạt trong môi trường nhanh là quan trọng.
- Design, develop, and maintain real-time data streaming pipelines using Spark Streaming or Azure Functions.
- Load, merge, and process machine logs from Kafka, ensuring efficient data flow and transformation.
- Integrate processed data into Redis cache and send it to the data lake for long-term storage and analysis.
- Implement and optimize data processing solutions using Python.
- Apply software engineering best practices, including code reviews, version control, and continuous integration/deployment (CI/CD).
- Collaborate with cross-functional teams to understand requirements and deliver high-quality data solutions.
Proven experience in real-time data streaming using Spark Streaming or Azure Functions. Strong proficiency in Python for data processing and automation tasks. Hands-on experience with Kafka for data ingestion and message queuing. Familiarity with Redis for caching and fast data retrieval. Knowledge of data lake architectures and best practices for data storage and retrieval. Solid understanding of software engineering principles, including design patterns, testing, and documentation. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Qualifications:
Experience with cloud platforms such as Azure Knowledge of other programming languages and frameworks related to data engineering. Familiarity with data modeling, ETL processes, and data lake concepts.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Be ready for whats next with multicloud solutions from Rackspace Technology. We are the multicloud solutions experts. We know what you're up against because we've helped global companies across industries through it and you can bet we're ready to help. Our team delivers results by listening to your challenges and building custom cloud services and solutions that help your business perform better now and into the future.
HQ Location
San Antonio, Texas
Company size
1-10
Founded in
Industry
IT Services and IT Consulting