Senior Backend Developer (big data)
CÔNG TY TNHH METACREWĐịa điểm làm việc: Hồ Chí Minh
Hết hạn: 19/04/2024
- Chi tiết công việc
- Giới thiệu công ty
Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc tương tự tại đây:
Mô tả công việc
Responsibilities:
Lead the design, development, and maintenance of robust and scalable backend systems for Big Data projects.
Collaborate with cross-functional teams including data engineers, data scientists, and product managers to understand project requirements and translate them into technical solutions.
Design and implement data processing pipelines, ETL workflows, and analytics solutions using Big Data technologies such as Apache Spark, Hadoop, Kafka, and related frameworks.
Optimize backend systems for performance, scalability, and reliability, ensuring efficient data processing and minimal latency.
Stay abreast of emerging trends and advancements in Big Data technologies, best practices, and industry standards, and leverage this knowledge to drive continuous improvement and innovation within the team.
Lead the design, development, and maintenance of robust and scalable backend systems for Big Data projects.
Collaborate with cross-functional teams including data engineers, data scientists, and product managers to understand project requirements and translate them into technical solutions.
Design and implement data processing pipelines, ETL workflows, and analytics solutions using Big Data technologies such as Apache Spark, Hadoop, Kafka, and related frameworks.
Optimize backend systems for performance, scalability, and reliability, ensuring efficient data processing and minimal latency.
Stay abreast of emerging trends and advancements in Big Data technologies, best practices, and industry standards, and leverage this knowledge to drive continuous improvement and innovation within the team.
Yêu cầu công việc
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of professional experience in software development with a focus on backend development.
Proven experience working on Big Data projects, including designing and implementing data processing pipelines, ETL workflows, and analytics solutions.
Strong proficiency in one or more programming languages commonly used in backend development (e.g., NodeJS, Python,Java, Scala).
Hands-on experience with Big Data technologies such as Apache Spark, Hadoop, Kafka, or similar distributed computing platforms.
Solid understanding of database systems, SQL, and NoSQL databases, with experience in designing and optimizing data storage and retrieval mechanisms.
Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform, and familiarity with deploying and managing applications in cloud environments.
Excellent problem-solving skills, with the ability to analyze complex technical challenges and propose practical solutions.
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Preferred Qualifications:
Experience with containerization technologies such as Docker and container orchestration tools like Kubernetes.
Knowledge of machine learning and data science concepts, and experience integrating machine learning models into backend systems.
Contributions to open-source projects or active participation in relevant technical communities.
Certifications in Big Data technologies or related areas are a plus.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of professional experience in software development with a focus on backend development.
Proven experience working on Big Data projects, including designing and implementing data processing pipelines, ETL workflows, and analytics solutions.
Strong proficiency in one or more programming languages commonly used in backend development (e.g., NodeJS, Python,Java, Scala).
Hands-on experience with Big Data technologies such as Apache Spark, Hadoop, Kafka, or similar distributed computing platforms.
Solid understanding of database systems, SQL, and NoSQL databases, with experience in designing and optimizing data storage and retrieval mechanisms.
Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform, and familiarity with deploying and managing applications in cloud environments.
Excellent problem-solving skills, with the ability to analyze complex technical challenges and propose practical solutions.
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Preferred Qualifications:
Experience with containerization technologies such as Docker and container orchestration tools like Kubernetes.
Knowledge of machine learning and data science concepts, and experience integrating machine learning models into backend systems.
Contributions to open-source projects or active participation in relevant technical communities.
Certifications in Big Data technologies or related areas are a plus.
Quyền lợi được hưởng
Benefits for you
13th month salary.
Very attractive salary based on skills and experience, freely deal your salary during the interview.
Insurance, annual health checkup and other benefits according to the government regulations.
Annual leaves & public holidays.
8:00-17:00 from Monday to Friday.
13th month salary.
Very attractive salary based on skills and experience, freely deal your salary during the interview.
Insurance, annual health checkup and other benefits according to the government regulations.
Annual leaves & public holidays.
8:00-17:00 from Monday to Friday.
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