Hiring: Data engineerWe’re looking for a Data engineer with 5+ years of experience to join our team Experience: 5+ years Location: KL, MalaysiaKey Skills: Azure, Devops, AWS, CI/CD, AWS Glue, Azure Devops, GitHub, RedshiftJob scope:. maintaining and optimising our enterprise data warehouse platform . supporting the migration of data warehouse capabilities from Microsoft Azure to AWS . building, improving, and supporting data engineering pipelines and data warehouse workloads . monitoring platform performance and identifying opportunities for optimisation and cost efficiency . enabling and supporting data engineers across the organisation in delivering high-quality data solutions . applying data warehousing best practices, troubleshooting incidents, and contributing to platform reliability and continuous improvement. Interested candidates can share their profile +60 14-629 5130
Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
Develop ELT pipelines from SaaS, ERP, CRM and finance systems into the Azure data platform (Azure Data Lake, Synapse/Databricks, PostgreSQL), following the Group's documented ingestion patterns.
Develop ELT pipelines from SaaS, ERP, CRM and finance systems into the Azure data platform (Azure Data Lake, Synapse/Databricks, PostgreSQL), following the Group's documented ingestion patterns.
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines and platforms On Premise and Cloud Ecosystem (Microsoft Azure Preferrable), with hands-on expertise in modern data engineering tools and frameworks.