We are currently hiring for Lead Cloud Consultant - Business Intelligence . We look forward to reviewing your application and potentially working with you. Responsibilities: Conduct customer discovery meetings to determine reporting requirements Understand and work
As a Data Engineer , you will design and build the data infrastructure that powers enterprise AI and analytics use cases. You will be responsible for data pipelines, data quality, and ensuring reliable, governed data flows
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to
About the Role We are looking for experienced Data Engineers to design and operate pipelines within the Azure Fabric Medallion architecture (Bronze–Silver–Gold) . You’ll be responsible for transforming raw data into analytics-ready datasets used in Power
Roles & responsibilities •Participate in the design, development, and delivery of Azure data engineering solutions for large-scale data platforms •Work directly with clients to gather requirements for data ingestion, integration, transformation, storage, and processing •Develop and
Roles & responsibilities •Contribute to the development of data ingestion, transformation, and integration pipelines on Azure •Support the implementation of ETL/ELT workflows using Azure Data Factory, Synapse, Databricks, and other Azure-native services •Participate in building and
At KPMG, within the Cloud & Data Engineering service line, we are seeking a talented Azure Data Engineer (Consultant) to support the design and delivery of modern data platforms and data engineering solutions for our clients.
Roles & responsibilities Participate in the design, development, and delivery of Azure data engineering solutions for large-scale data platforms Work directly with clients to gather requirements for data ingestion, integration, transformation, storage, and processing Develop and
Roles & responsibilities Participate in the design, development, and delivery of Azure data engineering solutions for large-scale data platforms Work directly with clients to gather requirements for data ingestion, integration, transformation, storage, and processing Develop and
Full Time Regular position Work Setup: Hybrid, working onsite once a week Work Location: BGC, Taguig and Ayala Makati sites Working Hours: follows Australian hours Design, operationalise, and continuously improve scalable, data driven managed services and
Job Responsibilities: Assist in building data ingestion, transformation, and integration pipelines using Azure data engineering tool sDevelop basic ETL/ELT components under the guidance of senior team member sSupport the creation and maintenance of data lakes, data
Assess requests from end-users and provides feedback/updates to requester on result of assessment or development. Understands strategic business needs and plans for growth. Participates in the design, development, testing and deployment of system enhancements. Finds technological