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Build and own Shiftbase’s BigQuery + Dataform warehouse from scratch, designing layered architectures and ELT pipelines that feed clean, governed HR data to teams and AI initiatives.
Senior Data Engineer builds scalable data platforms using Microsoft Fabric, Python, Spark, and APIs to power analytics and decision-making for a modern instant-photography company.
Lead a modern data platform at Stream, building scalable ELT pipelines, dimensional models, and reverse ETL to power revenue ops and analytics for a real-time chat/video platform serving billions of users.
Designs and builds scalable cloud data pipelines and warehouses using Databricks and AWS/Azure/GCP to power analytics and reporting.
Build and maintain data platforms, pipelines, and ML infrastructure for an asset-management firm, using cloud tools like GCP/AWS and BI platforms such as Power BI or Tableau.
Design, build, and deploy AI-driven solutions including generative ML apps with LLMs, LangChain, and vector databases, and optimize end-to-end ML pipelines on AWS.
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
Build and maintain cloud-native data pipelines and dimensional models on Snowflake and AWS to modernize an enterprise data warehouse.
Build and maintain cloud-based ETL pipelines and statistical registers for Singapore’s population and household data, using Python, SQL, and CI/CD to ensure robust, timely public-sector insights.
About the Role We are seeking a passionate AI Data Architect to design and build the data foundation that makes AI work well across Kuok Group —specifically, the hybrid vector and knowledge graph layer (the enterprise…
Build and maintain scalable data pipelines using PySpark on AWS, including ETL/ELT workflows with Glue and Step Functions, serverless automation with Lambda, and IaC with Terraform.
Build and maintain AWS-based data pipelines and warehouses using Glue, Redshift, and S3, with CI/CD and IaC for scalable ETL/ELT workflows.
Designs and maintains ETL/ELT pipelines on cloud platforms using Databricks to move and process clinical and administrative healthcare data.
Build and maintain scalable data pipelines and ETL processes using SQL, Python, Databricks, and PySpark to deliver reliable, high-quality data solutions for analytics and reporting.
Leads OpenText AppWorks development and data engineering for enterprise digital transformation, designing ETL/ELT pipelines, dashboards, and secure solutions while collaborating with global teams.
Senior Data Engineer builds ETL/ELT pipelines and analytics for semiconductor test engineering, applying binning and yield logic to support high-volume data environments.
We are looking for an experienced Data Engineer (Cloud) to join our growing team. The ideal candidate should have hands-on expertise in designing and developing cloud-based data solutions using AWS, Databricks, Python,…
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Build and deploy AI, data pipelines, and analytics solutions for enterprise clients in APAC, bridging business needs with production-ready GenAI and data platforms.
Design and maintain scalable data pipelines on AWS to support AI/ML initiatives, ETL/ELT workflows, and analytics for a Singapore-based tech company.
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