Enterprise Data Solutions Architect
5 days ago
Company Overview:
Tangspac is a leading organization in the financial industry, dedicated to delivering cutting-edge solutions.
Job Description:
We are seeking an experienced Senior Data Developer to join our team. As a key member of our data engineering department, you will be responsible for designing and implementing large-scale data platforms using Kubernetes, Kafka, and Apache Stack.
The successful candidate will have hands-on experience with data lakes, data streaming, and distributed systems. They will also be responsible for developing data pipelines, automating CI/CD processes, and collaborating with other teams to ensure seamless solution execution.
Required Skills and Qualifications:
- Bachelor's degree in IT with at least 5 years of experience
- Proven experience in developing enterprise big data applications and distributed systems
- Hands-on experience working with Hadoop ecosystems, Kubernetes, and Spark
- Experience working with S3 object storage and S3 buckets
Key Responsibilities:
- Design and implement large-scale data platforms
- Develop data pipelines and automate CI/CD processes
- Collaborate with other teams to ensure seamless solution execution
- Perform application support and investigate problems
Benefits:
Tangspac offers a competitive salary and benefits package to successful candidates.
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