We are seeking a self-motivated Cloud Data Engineer with experience in AWS/Azure, data engineering, and traditional application development using Java, Python, and C. The ideal candidate will have expertise in high-volume, low-latency applications and batch data processing in a fast-paced environment.
Summary
The candidate must be a self-starter, who can work under general guidelines in a fast-paced work environment. Overall minimum 5 years of experience in cloud (AWS / Azure) data engineering along with traditional application development using programming languages like Java, Python, and C.
Responsibilities:
* Design and develop high-volume, low-latency applications for mission-critical systems.
* Develop and maintain batch processing jobs for data extractions, transformation using Python.
* Contribute in all phases of the development lifecycle.
* Experience working with traditional on-premise databases including Oracle, Sql Server and DB2.
* Write well-designed, testable, efficient code.
* Use standard CI/CD pipelines to roll and deploy the code.
* Support continuous improvement by investigating alternatives and technologies and presenting and presenting theses for architectural review.
Requirements:
* Hands-on experience in designing and developing applications using Java EE platforms.
* Experience in the Spring Framework.
* Proven experience in Python development, with a focus on batch job processing.
* Experience with automation tools and frameworks.
* Excellent problem-solving and debugging skills.
* Strong communication and collaboration abilities.
Education, Certification, Training:
BS/MS degree in Computer Science, Engineering, or a related subject
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