Create and support a dedicated China data environment on Alibaba Cloud (AliCloud) for data processing, analytics, machine learning, and reporting workloads.
Build reusable data engineering components such as common libraries, configuration frameworks, logging standards, and utilities to streamline production workflows.
At InfoConnect, we are leaders in Enterprise Information Management (EIM) solutions.With Malaysia as our headquarters and a strong presence in Indonesia, we have a 30-year track record in serving clients across the ASEAN region in various industries, spanning from financial services, public sector, manufacturing, logistics, and more. Our goal is to transform how organizations manage, capture and utilize their data to drive business success.From document and data capture to comprehensive content management, we provide advanced solutions that drive efficiency, streamline processes, and enable data-driven decisions. Our clients span, and we are committed to delivering unparalleled value to all.
The Data Engineer is responsible for the data infrastructure that carries digital health technology (DHT) and wearable sensor data from collection through to analysis-ready datasets, as well as trial-level digital device data strategy including acquisition, storage, retrieval, interchange, delivery and representation.
Work out what legacy data means before you move it, by reading stored procedures, triggers, constraints, and the table relationships nobody wrote down.
Lead data quality and governance efforts, including schema standardization, lineage tracking, SLA monitoring, and best practices that increase reliability and user trust.
Multimedia Processing: Engineer scalable solutions for video analysis and image recognition, integrating computer vision models to extract actionable metadata from diverse media formats within our data streams.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Provide support and guidance to data analysts and data scientists in accessing, understanding and utilizing the data assets effectively for analytics and modelling purposes, optimizing the execution of AI ML algorithm and workflow.