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Cloud Data Engineer – ETL/ELT, Snowflake & BigQuery
The Cloud Data Engineer will build and maintain ETL/ELT pipelines and develop data transformations using Python and SQL. The role involves supporting batch and real-time data processing across cloud platforms like Snowflake, AWS, Azure, or Google Cloud.
GCP Big Data Platform Engineer
Manages data lifecycle, ETL pipelines, and GCP Big Data Platform operations (BigQuery, Pub/Sub, Cloud Data Fusion) to ensure data accuracy, security, and efficient transfers across teams.
Senior MySQL DBA & WMS Analytics Engineer
Manage MySQL databases across production, staging, and test environments, optimize queries, and develop stored procedures to support a Warehouse Management System at a logistics company.
Senior AI Data Centre Network Engineer
Design, deploy and operate high-performance data-centre network infrastructure for AI/GPU clusters, working with BGP, EVPN/VXLAN, NVIDIA InfiniBand, and automating with Python and Ansible.
Senior AI GPU Data Centre Network Engineer
Designs and maintains the high-speed network backbone for AI/GPU data centers, focusing on NVIDIA InfiniBand and Spectrum Ethernet/Spectrum-X.
Senior Data Engineer
Senior Data Engineer in Kuala Lumpur designing and maintaining data pipelines, data models, and BI dashboards using AWS serverless services (Glue, Redshift, Aurora, Lambda, RDS), Python/PySpark/SQL, and SAP/Power BI.
Senior Data Engineer
Senior Data Engineer builds and maintains Rapsodo’s cloud data platform, pipelines, and AI applications that power analytics and customer-facing agents for sports-tech products.
Senior Data Engineer: Scale Data Lakes & Pipelines
Builds and optimizes data lakes/pipelines to ensure data integrity and performance, mentors teams, and supports ML workflows in hybrid cloud environments.
Data Engineer: Scalable Pipelines & AI-Ready Analytics
Designs and maintains scalable data pipelines and cloud-based analytics infrastructure for a healthcare company, ensuring data quality, security, and AI-readiness while collaborating with data scientists and stakeholders.
Data Engineer
Data Engineer at CARiNG Pharmacy designing and maintaining scalable data pipelines, ETL/ELT processes, and cloud-based data infrastructure (GCP/BigQuery) to support analytics and AI initiatives.
Data Engineer
Data Engineer designing and maintaining a central data platform (Databricks, Snowflake, Python, SQL) supporting analytics and AI/ML workloads at a precision instruments company.
Senior Data Engineer
Hybrid Senior Data Engineer building MLOps and ETL pipelines on AWS, containerizing applications, and managing cloud infrastructure (CloudFormation, SageMaker, Lambda, S3) for a large insurance company.
Data Engineer
The Data Engineer will design, build, and maintain scalable data pipelines, databases, and data warehouses to ensure reliable data access for analytics and business reporting. The role involves implementing ETL/ELT processes and optimizing data infrastructure using technologies like Python, SQL, Spark, and cloud platforms.
Data Engineer (Hybrid Role)
The Data Engineer will design, develop, and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure data quality across the organization's data lakehouse.
Junior, Data Engineer
The Junior Data Engineer will develop and maintain ETL/ELT pipelines, manage data lake and warehouse solutions, and ensure data quality for analytics. The role involves working with SQL, Python, Java, or Scala to support data integration and machine learning workflows.
Cloud Data Platform Engineer
The Cloud Data Platform Engineer will maintain, monitor, and scale cloud-based data infrastructure while implementing Infrastructure as Code. The role involves collaborating with architects to set standards and supporting data engineers by troubleshooting platform issues and automating deployment pipelines.
Data Engineer
The Data Engineer will build and maintain ETL/ELT pipelines, manage cloud data platforms, and ensure data quality using Python, SQL, and various cloud data warehouse technologies. The role involves collaborating with cross-functional teams to support both batch and real-time data processing.
AI Data Engineer
Build and maintain scalable data pipelines on Google Cloud to fuel AI systems, focusing on RAG workflows and high-quality data for machine learning models.
Data Engineer
Designs and maintains ETL pipelines, builds dashboards, and analyzes data to support government digital transformation projects using SQL, Python/R, and BI tools.