Data Platform Engineer
Summary
Design, implement, and manage scalable enterprise data platforms (real-time and batch) for a major industrial/automation multinational's regional Data/AI HQ in Singapore, owning the end-to-end data lifecycle.
12-month 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 data warehousing, data lake platforms, database administration 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.
NOTE:
Please do attach your latest resume in your submission. We will not be able to process your application without your resume attachment. Please rest assured that your interest will be treated with strictest confidentiality.
Chua Keow Por Hudson RPO (Singapore) Pte Ltd EA Personnel Number: R1105253 Company EA Number: 18C9146
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 data warehousing, data lake platforms, database administration 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.
NOTE:
Please do attach your latest resume in your submission. We will not be able to process your application without your resume attachment. Please rest assured that your interest will be treated with strictest confidentiality.
Chua Keow Por Hudson RPO (Singapore) Pte Ltd EA Personnel Number: R1105253 Company EA Number: 18C9146