Real Time Data Streaming Engineer
Singapore, Singapore
Job Description
Job Summary
We are looking for a data engineer to work within a team that provides robust and innovative solutions to support the ever-growing demands in the industry.
Key Qualifications
- Experience in designing and building highly scalable real time data pipelines using Kafka or other similar tools
- Simplify access to real-time data for internal stakeholders (Kafka).
- Strong programming proficiency using one or the following languages: Python/Scala/Java
- Possesses clear understanding of distributed computing, especially in databases
- Hands-on in SQL with a deep understanding of query optimization
- Experience working with AWS Cloud (preferably) or any of the other cloud platforms (Google Cloud, Azure Cloud)
- Exposure to the latest cutting-edge technologies
- Rewarding work: Opportunity to make real and immediate impact on the business and the industry
- Exposure to understanding and dealing with the data engineering & analytics requirements from various business units, hands-on analysis of the various data systems, and an opportunity to directly influence and impact the company\'s data infrastructure to enable data democratization.
- You\'ll work with a great team. They\'re exceptional at their jobs, and winning market share from their competitors every day.
- Fun, friendly, open company culture
For more information you can email Malcolm in our Singapore office on malcolm.lee@teksystems.com quoting Job Reference Malcolm 538408 or alternatively, apply here to register your interest.
http://jobs.en-sg.teksystems.com/nyVywV/real-time-data-streaming-engineer-itcommunications-unknown-singapore-16116713
EA Registration No.: LEE YAO HONG MALCOLM , R22109832
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544
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Job Detail
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Job IdJD1347979
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSingapore, Singapore
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EducationNot mentioned