Cloud Data Engineer
Job Title: Cloud Data Engineer
Location: Menlo Park CA (Hybrid)
Duration: 12 Months
NOTE: Candidate must be available for in-person interview
Job Description:
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.
Job Title: Cloud Data Engineer
Location: Menlo Park CA (Hybrid)
Duration: 12 Months
NOTE: Candidate must be available for in-person interview
Job Description:
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.
