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Data Platform Engineer at Hudson Singapore – Singapore | Jobyssey

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Data Platform Engineer

Data Platform Engineer

Hudson Singapore · Singapore, Singapore · 1 month ago

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Employment: Contract
Category: Data engineering
Experience: 5+ years

agile ai analytics automation aws azure cloud data-engineering data-ingestion data-lake data-pipelines data-science

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requirements-gathering

stakeholder-management

A 12-month direct contract (convertible to permanent) with a multinational industrial and automation firm in Singapore, based at its regional Data/AI hub. The engineer designs and runs scalable enterprise data platforms for real-time and batch processing, owning the end-to-end data lifecycle using Python/Scala/Java, Hadoop ecosystem tools (Hive, HBase, Kafka, Spark) and cloud platforms like Azure,

12-month Direct Contract with View to Convert to Permanent
Major Industrial and Automation Multi-nation Firm in Singapore
Employee-Centric Environment

Our client is one of the world prominent multinational company in the Industrial and Automation industry with yearly revenue in billion USD. Now, it is now looking to hire an experienced Data Data Platform Engineer for its regional Data/AI headquarter in Singapore.

About the Role

This role will be tasked to design, implement and manage scalable enterprise data platforms supporting both real-time and batch processing. The role owns the end-to-end data lifecycle and enables trusted, analytics-ready data assets for business intelligence, data science and self-service analytics.

Requirements

Bachelor's degree in IT, Computer Science, Software Engineering, Business Analytics or related discipline.
More than 5+ years of proven experience in hands-on experience in data engineering including building data warehousing, data lake platforms or related areas.
Hands-on experience with cloud platforms such as Azure, AWS or Alibaba Cloud.
Expertise in building and optimizing big data pipelines, architectures and datasets.
Strong experience with data ingestion, transformation, cleansing and enrichment.
Proficiency in Python, Scala and/or Java.
Experience with Hadoop ecosystem technologies such as Hive, HBase, Kafka and Spark.
Knowledge of SDLC processes and Agile delivery methodologies.
Strong stakeholder management, requirements gathering and support skills.
MUST BE based in Singapore currently and has relevant work experience in Singapore.

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