
Big Data Solutions Architect
4 days ago
We are seeking a highly skilled Big Data Engineer to design, build, and maintain scalable, reliable big data platforms while driving automation and standardization across development and operations.
This is an exciting opportunity to bridge the gap between data engineering and DevOps, ensuring seamless data pipelines, efficient CI/CD workflows, and robust infrastructure management to support data-driven business growth.
Responsibilities- Big Data Platform Development & Operations:
- Architect and deploy distributed big data ecosystems for real-time and batch data processing, ensuring high availability and performance at scale.
- Optimize data pipelines for ingestion, transformation, and storage, leveraging tools like NiFi, Airflow, or Luigi to automate workflows.
- Manage cluster resources and monitor platform health using tools like YARN, Prometheus, Grafana, or Datadog, resolving issues to maintain 99.9% uptime.
- Implement end-to-end CI/CD pipelines using Jenkins, GitLab CI/CD, or GitHub Actions, ensuring automated testing, deployment, and rollback capabilities.
- Partner with data engineers, data scientists, and software developers to understand requirements and deliver scalable solutions for data processing and analytics.
- Participate in technical design reviews, advocating for cloud-native, containerized architectures (e.g., Docker, Kubernetes) and microservices.
- Train and mentor teams on DevOps methodologies, fostering a culture of collaboration and continuous improvement.
- Ensure data platforms adhere to security standards through encryption, IAM policies, and vulnerability scanning.
- Monitor and mitigate security risks, such as data breaches or unauthorized access, implementing proactive threat detection and incident response protocols.
To be successful in this role, you should have:
- At least 2 years' experience with Hive, Hadoop, Spark, Python
- Good knowledge and experience with Linux
- Experience with containerization technologies such as Docker and Kubernetes
- Familiarity with DevOps best practices and tools such as Git, Jenkins
- Good learning attitude
- Good English speaking and writing
This is an excellent opportunity to join our team and contribute to the development of cutting-edge big data solutions.
You will have the chance to work with a talented team of professionals, learn from experienced colleagues, and develop your skills in a dynamic and supportive environment.
OthersPlease submit your application, including your resume and a cover letter outlining your relevant experience and qualifications.
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