Job description
About our Client
Our client is a global conglomerate that focuses on a wide range of technological and industrial sectors. The company offers a diverse portfolio of products, services, and solutions aimed at enhancing energy efficiency and promoting sustainability in buildings. One of the specific offerings would be their software and platform that provides a suite of connected solutions and features customized solutions for building efficiency factors and more. They are now looking for a Senior Data Engineer to look after Asia Pacific region, while reporting to a GM of Data in Hong Kong. This is an exciting and rare opportunity to come by!
About the role
Our client is a global conglomerate that focuses on a wide range of technological and industrial sectors. The company offers a diverse portfolio of products, services, and solutions aimed at enhancing energy efficiency and promoting sustainability in buildings. One of the specific offerings would be their software and platform that provides a suite of connected solutions and features customized solutions for building efficiency factors and more. They are now looking for a Senior Data Engineer to look after Asia Pacific region, while reporting to a GM of Data in Hong Kong. This is an exciting and rare opportunity to come by!
About the role
- Designing and building analytics cloud solutions to enable better outcomes
- Deliver architectures for transformation and modernization of enterprise data solutions using Azure cloud data technologies
- Analyze current business practices, processes, and procedures as well as identify relevant Microsoft Azure Data & Analytics IaaS, SaaS and PaaS services
- Support the use of data-driven insights to achieve outcomes and goals whilst respecting security requirements
- Design and build data pipelines, data streams, reports, information dashboards, data services APIs, data generators and other data-relevant services
- Work across stakeholders to gather solution requirements and propose architecture decisions
- During implementation collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources
- Have a sound understanding of consumption cost drivers in Azure cloud-based solutions
- Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics
- Be a critical part of the data supply chain, ensuring that stakeholders can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics
- Minimum of 8 years of experience with large-scale data and analytics solutions
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
- Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc.
- Experience with exposing data to end-users via Power BI, Azure API Apps.
- Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB
- Experience in turning business use cases and requirements into technical solutions
- Experience in sizable data projects e.g. Data Warehouse, Data Lake setup
- Experience in business processing mapping of data and analytics solutions
- Experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies
- Experience driving knowledge transfer and/or training programs
- Experience with agile delivery methodologies, proof of concepts and prototyping
