Design and build Power BI dashboards and reports with excellent UI and UX: clear layout, consistent visual style, intuitive navigation, and the right chart for each question.
Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake.
Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings
Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake.
We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings
We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect - Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings
Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake.
Drive Business Impact through Data: Write and optimize advanced SQL queries to extract insights from large datasets. Translate data into clear, actionable recommendations that influence marketing strategies, product enhancements, and business growth.