You will design and implement consent management policies, data sharing safeguards, and compliance validation processes that enable trusted, scalable data flows across partner organisations with varying technical capabilities and institutional priorities.
Navigate Dynamic Project Scopes: Operate effectively within an agile environment where technical requirements and project scopes actively evolve. Engage directly with HR stakeholders to define requirements, negotiate deliverables under tight development runways, and continuously refine data solutions.
Data Pipeline Architecture and Delivery: Lead the design and implementation of maintainable batch and streaming pipelines that ingest, validate, transform and publish structured, semi-structured and unstructured data across AWS and Databricks.
Hands on experience in SQL, with in-depth expertise in Microsoft SQL Server, including query optimization, indexing strategies, performance tuning, and troubleshooting;
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
Cross-Functional Collaboration: Work with business stakeholders, analytics, product, and engineering teams to understand data requirements and establish clear data definitions.