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Senior Staff Software Engineer
Senior engineer designs and safeguards mission-critical web apps and cloud infrastructure for Carbon’s global 3D-printer network, using React, Three.js, GCP, and distributed systems.
Senior Data Architect
Designs and implements enterprise-scale data platforms and pipelines for analytics, compliance, and AI/ML use cases using cloud tools like Snowflake and AWS.
Data Architect (Cloud - AWS)
Designs and optimizes AWS-based data pipelines and models for large-scale cloud platforms, bridging data engineering and science using services like Redshift, DynamoDB, and Lambda.
Full Stack Software Engineer (React + Node.js)
Builds and maintains React-based frontend and Node.js backend features for a brand-performance analytics platform, integrating AI-driven insights and modern cloud tech.
Data Platform Engineer
Design and build Google Cloud-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech company.
Data Platform Engineer (hybrid or remote)
Build and maintain GCP-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech company.
GCP Data Engineer/Data Architect
Designs and builds scalable GCP data pipelines and architectures, focusing on security, compliance, and ELT workflows to turn raw data into business insights.
Senior Data Scientist
Build and deploy production-grade ML models and data pipelines on AWS/Databricks, focusing on GenAI and robotics sensor data ingestion and processing.
Cloud Data Engineer - Databricks & AWS Ops
Oversee production data pipelines in Databricks and AWS, ensuring high availability and cost efficiency while managing logging, monitoring, and incident response.
Assistant Manager, Data & AI (AI Engineer)
Build and deploy AI applications (e.g., conversational assistants, RAG systems) and data pipelines on cloud platforms, while ensuring compliance with government security standards.
Lead Data Engineer, Analytic Platform
Lead the AI data infrastructure for Grab’s Integrity team, building vector databases, multi-agent orchestration, and proactive guardrails to power autonomous risk-detection systems that protect users from fraud and abuse.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT workflows, and APIs in AWS/GCP to feed data warehouses, lakes, and analytics products.
Associate Data Engineer
Build and maintain cloud-based data pipelines on AWS and Databricks, ensuring high uptime and performance while optimizing costs and security.
Data Engineer
Designs and builds scalable ETL pipelines in Snowflake/Databricks to integrate and transform financial data for analytics and reporting.
Senior AI Platform & Data Engineer
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Senior Data Engineer (Azure, Databricks & MLOps)
Senior Data Engineer builds and optimizes scalable Azure-based data and ML pipelines using Databricks, PySpark, and MLOps tools to support analytics and AI deployments for fintech and public-sector clients.
Data Engineer
Design and maintain ETL pipelines that pull data from public APIs into Azure Blob and SQL databases, ensuring clean, reliable data for analytics and reporting.
Data Engineer: Build ETL Pipelines & API Integrations
Designs and maintains ETL pipelines to ingest public API data into centralized storage and databases for downstream analysis.
Data Engineer
Design and build scalable, reproducible data pipelines and cloud infrastructure for consulting projects, using Python, SQL, Airflow, dbt, and Snowflake to deliver automation-first solutions.
Data & AI Platform Engineer – Scalable Analytics
Builds and maintains scalable data pipelines and AI platforms using Snowflake, Palantir Foundry, and PySpark to power analytics for functions like HR and procurement.