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Build full-stack features for web and mobile using React/React Native, and develop scalable backend services with C#, TypeScript, and Ruby on Rails in AWS microservices environments.
Builds and optimizes cloud-based data pipelines (Databricks, Azure) for client projects, focusing on PySpark, SQL, and API ingestion while collaborating with stakeholders and maintaining infrastructure-as-code.
Data Engineer building and maintaining scalable data pipelines and ETL processes using SQL, MongoDB, Python, Kafka, Spark, and dbt for a financial/insurance/banking client in Jakarta, full on-site.
The Lead Data Architect will design and evolve scalable data architectures, lead multidisciplinary teams, and define data strategies for GFT's AI Center of Excellence. The role involves working with cloud platforms like Azure, AWS, or GCP, and technologies such as Spark, Python, and SQL to deliver advanced data solutions.
Company Description: Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed…
Mô tả công việc To be able to develop/design for Data Lake, System/Data Integration, App engine solutions (containing complex big data computations), ensure the product delivered on time, within budget. Work with Data…
Data Engineer leading AMS support for production data pipelines on GCP (Pub/Sub, Dataflow, Cloud SQL) with CDC tools (Debezium/Datastream), Java, and incident management in Toronto.
Senior Data Engineer maintaining and operating Manulife's Enterprise Data Lake on Azure, using Hadoop, Databricks, Spark, and Python to support data integration, incident response, and platform stability for insurance data domains.
Senior Data Engineer building agentic systems for Fountain's data platform — designing agent-assisted dev workflows, evaluation layers, and self-service analytics using dbt, Dagster, ClickHouse Cloud, Python, and LLM/agent tooling.
The Senior Data Platform Engineer will design and build governed data sharing infrastructure, including CDC pipelines and cataloging tools, to support Smartly's product, analytics, and AI/ML teams. The role focuses on creating reliable, contract-driven data publishing paths using technologies like Kafka, PostgreSQL, and Kubernetes.
The Senior Data Platform Engineer will build and maintain a governed data publishing platform using PostgreSQL, Debezium, Kafka, and DataHub. This role involves collaborating with cross-functional teams to enable scalable data sharing for product, analytics, and AI/ML initiatives.
The Data Platform Engineer will build and maintain modern data platforms, focusing on pipelines, processing, orchestration, and infrastructure. The role involves working with open-source technologies like Python, SQL, Kubernetes, and various data processing engines to deliver scalable data solutions.
Senior Data Platform Engineer advises clients on modern data platforms, designs scalable architectures, and builds robust open-source solutions with Python/SQL, Spark, Kafka, and Kubernetes. Focuses on governance, performance, and hands-on engineering for enterprise clients.
GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops…
Designs and maintains production-grade data pipelines for AI/ML and RAG systems, focusing on ingestion, transformation, and vector search infrastructure (pgvector, Pinecone). Ensures data governance, compliance, and quality for regulated sectors like healthcare and government.
Leads structured data discovery, documentation, and governance for a multi-tenant SaaS platform in risk management, focusing on database architecture, data modeling, and knowledge capture for engineering, product, and operational teams.
The Data Architect will design and maintain database schemas, optimize SQL performance, and manage data flows for a large-scale centralized archival service. The role involves working with PostgreSQL, Greenplum, and Hadoop ecosystems within a microservices-based cloud environment.
Staff Data Engineer building an end-to-end data platform from scratch, designing near real-time streaming pipelines, vector database infrastructure, and AI-ready data systems using Kafka, dbt, cloud warehouses, and Python.
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
Hands-on Data Architect designing and evolving a Databricks/AWS lakehouse data platform for healthcare clients, leading architecture reviews, data governance, and mentoring engineers.
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