about company
our client is a global financial services institution with a core focus in three key disciplines of Lending, Advisory and Asset Management. Founded in 2000, HQ in Australia. Currently growing their Singapore office.
about job
● Your wealth of Azure Cloud knowledge will be well suited to design and build data and analytics architectures, services, and environments
● Migrating away from IaaS, leveraging PaaS Azure offerings ensuring long term technical viability of new deployments.
● Implementation of key analytics technologies (e.g. Azure ML, Database Platforms, Big Data, Data Lake, Cognitive Services, Azure Databricks, Azure Synapse, etc)
● Supporting, designing, and deploying suitable data processing environments.
skills and requirements
● Bachelor’s in Computer Science or related field
● Minimum of 10 years in a corporate IT environment.
● Worked with DevOps tools, cloud (AWS/Azure/GCP) and familiar with SW lifecycle management
● Proven skills in solution design and architecture of Big Data and Advanced Analytics Cloud Based solution using Microsoft Azure Cloud Platform.
● Excellent understanding of SOA and API driven architectures.
● Strong understanding of IaaS, PaaS, SaaS models and ability to switch and adapt quickly to various stacks.
● Expertise connecting to various data sources and structures: APIs, NoSQL, RDBMS, Blob Storage, Data Lake, etc.
● Deep understanding of ETL, ELT, data ingestion/cleansing and engineering skills.
● Knowledge of data architectures including data storage, data warehouse, data mart, big data storage.
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)