Job Description
- Opportunity to work on a modern AWS-based data and AI platform. - Exposure to Spark, MLOps, and emerging AI/GenAI initiatives. About Our Client Our client is an organisation investing in modern data platform capabilities to support analytics, machine learning, and AI-driven business initiatives. The environment emphasizes cloud technologies, data governance, and engineering best practices. Job Description - Design, develop, and maintain scalable data pipelines and data products within a cloud-based data platform. - Build, enhance, and troubleshoot Apache Spark workloads on AWS EMR for both batch and real-time data processing. - Enable self-service analytics and data science capabilities through well-structured, governed, and high-quality datasets. - Contribute to MLOps processes, including support for model deployment, monitoring, and data preparation activities for production ML solutions. - Assist with AI and Generative AI initiatives by delivering the necessary data foundations and platform integrations. - Maintain data quality, governance, lineage, security, and consistency across the end-to-end data lifecycle. - Collaborate with business users, data specialists, and platform engineering teams to gather requirements and implement data-driven solutions. - Adhere to established architecture guidelines, engineering best practices, and development standards. The Successful Applicant - 3-5 years of hands-on experience in data engineering. - Strong practical experience with Apache Spark running on AWS EMR. - Experience working with AWS data services, including S3, Glue, Athena, Redshift, Step Functions, and Lambda; exposure to Lake Formation and SageMaker is advantageous. - Proficiency in Python and advanced SQL, with experience in ETL/ELT development and data modelling. - Familiarity with big data and streaming technologies such as Hive, Presto, Kafka, and Spark Streaming. - Knowledge of MLOps principles and experience supporting machine learning models in production environments is beneficial. - Exposure to AI and Generative AI-related projects is an advantage. - Strong collaboration skills and effective communication abilities. - Fluent in Cantonese and English; Mandarin proficiency is a plus. - Prior experience gained within an IT consulting environment or technology services organisation is preferred. What's on Offer - Competitive monthly salary. - Access to the usual benefits provided by the employer. If this role sounds like a match for your skills, we encourage you to apply. Contact Quote job ref: JN-092026-7094946
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