Responsibilities
• Build robust and scalable Enterprise Data Platform for batch/real-time data processing and
machine learning model
• Develop data processing pipelines for ingestion, modelling, analysis mining and reporting with
SQL, Spark Python, and etc.
• Solve technical challenges posted to the Enterprise Data Platform from huge volume and velocity
and business compliexity
• Collaborate with CapitaLand's infrastructure, Business Analyst and Data Science team for data
engineering support and development/deployment of machine learning models
• Support data management projects when needed and perform additional data related tasks
• Any other ad-hoc duties as assigned by supervisor
Requirements
• Bachelor's degree in Computer science or related program
• Experience in data warehouse, data application or business intelligence product development
• Solid Programming skills in Java, Scala, Python, Hadoop and Spark.
• Hands-on experience in dashboard development with PowerBI
• Good to have knowledge on Microsoft stack of analytics products (SQL Server, Azure Data Factory,
Azure Databricks, Azure Data Warehouse, Power BI)
• Good collaboration and communication skills to work effectively across teams and partner with
business stakeholders
To Apply:
Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.
We regret that only shortlisted applicants would be notified.
This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.
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