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Data Engineer
Designs and maintains ETL pipelines, data warehouses, and BI dashboards to deliver clean, reliable data for business decisions.
Senior Data Engineer
Build and maintain scalable data pipelines and a modern data warehouse to power analytics and machine learning for a global beauty retailer’s omni-channel operations.
Senior Data Engineer (ETL, Modeling)
Design and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Senior Data Engineer
Senior Data Engineer builds and optimizes petabyte-scale ETL pipelines and dbt models, integrating AI tools to automate metadata, monitoring, and performance tuning for a global travel-experiences platform.
Data Engineer III - Python/Spark/AWS
Build and maintain scalable data pipelines and cloud-native analytics platforms using Python, Spark, and AWS services to support JPMorgan’s global consumer banking operations.
Senior Data Engineer
Build and scale the data platform powering Unravel Carbon’s AI-driven decarbonization engine, designing pipelines, warehouses, and quality checks to convert accounting data into supply-chain carbon insights.
Senior Data Engineer, Compliance Data Infrastructure
Build and maintain scalable data pipelines for a global crypto exchange, enabling AML monitoring, KYC/KYB, sanctions screening, and regulatory reporting with AI-assisted engineering and strict auditability.
Senior Data Engineer
Designs cloud data pipelines and warehouses, builds models for analytics and ML, and partners with teams to enable real-time customer personalization using Python, SQL, and GCP/AWS/Azure.
Senior Data Engineer
Build and maintain scalable data pipelines, develop ML models, and analyze datasets to extract insights using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior / Data Engineer
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, merging datasets into a centralized warehouse and preparing data for AI/LLM tools.
AI Data Engineer (entry level) - SPVL
Entry-level AI Data Engineer builds cloud-native data pipelines and automation for cybersecurity SOC operations using AWS, Python, and IaC tools like Terraform.
DATA Engineer
Designs and maintains scalable data pipelines and cloud-based data warehouses to feed analytics and AI models, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Forward-Deployed AI Data Engineer
Embeds with enterprise clients to design and deploy AI-powered data pipelines using BigQuery and Dataflow, focusing on Text-to-SQL and data intelligence workflows.
Data Engineer
Build and maintain data pipelines, ETL/ELT processes, and data models on Google Cloud to support analytics and decision-making for a retail enterprise.
Data Engineer
Build and maintain data pipelines and infrastructure for a fast-growing multi-currency fintech wallet, enabling analytics, AI agents, and customer-facing features across APAC markets.
Software Developer
Build and run a distributed, event-driven system on GCP using Node.js, Apigee, Pub/Sub, and GKE/Cloud Run to modernize Singapore Post’s monolithic architecture.
Senior Staff Software Engineer, Data Infrastructure AI Agent
Builds and leads the data infrastructure for Google Cloud’s AI agents, designing scalable pipelines, semantic models, and real-time systems to power secure, high-performance generative AI applications.
Cloud Data Engineer
Design and build modern data analytics, Big Data, and data-warehouse solutions in AWS, GCP, or Azure, including ETL/ELT pipelines and governance using Databricks, Snowflake, and Spark.
GCP Data Engineer/Data Architect
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
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