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Data Engineer
Build and maintain data pipelines, dashboards, and warehouse models to turn business questions into trusted insights using SQL, Python, and cloud warehouses like BigQuery.
Data Engineer
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
Data Engineer
Build and maintain scalable data pipelines and AI-driven features for a hospitality analytics platform, using Python, BigQuery, and GCP to power insights and machine learning.
Data engineer
Build and maintain robust ETL/ELT pipelines, cloud data warehouses/lakes, and curated datasets for BI and AI initiatives using Snowflake, Azure, or AWS.
Senior Data Engineer — AI-Powered Data Pipelines
Build and maintain AI-powered data pipelines and warehouse systems in Snowflake to feed Emburse’s SaaS analytics and data science platforms.
Data Engineer
Design and maintain scalable data pipelines and models using SQL, Snowflake, and AWS, ensuring clean, performant data for analytics and reporting.
Data Engineer
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.
Data Engineer
Build and maintain the data stack for a health/beauty ecommerce company, including BigQuery pipelines, Looker Studio dashboards, and marketing attribution models to drive smarter decisions.
Data Engineer
Designs and builds end-to-end cloud data platforms using Microsoft Fabric and Azure, setting standards and guiding teams to create scalable, reusable data architectures and pipelines.
Data Engineer: Build scalable data pipelines & insights
Build and maintain scalable data pipelines that ingest, store, and process data from multiple sources, ensuring reliability and performance for analytics and business insights.
Data Engineer: Big Data Pipelines & Cloud Analytics
Builds and optimizes cloud-based data pipelines and analytics transformations using SQL and tools like Snowflake, Databricks, and Spark to deliver high-value business insights.
Credit Data Engineer: Data Pipelines & Risk Analytics
Designs and maintains data pipelines in Snowflake to feed credit risk analytics, exposure monitoring, and ML models for a large-scale fintech product.
Lead Data Engineer - Snowflake Data Pipelines
Lead a small team to build and maintain scalable Snowflake data pipelines, transforming raw data into insights using Python, SQL, and Snowflake best practices.
Senior Full Stack AI Engineer/LLM - Pharma Industry
Build and scale an AI platform for pharma teams using LLMs, RAG, and agentic workflows; integrate enterprise data and deploy cloud-native microservices.
Senior Full Stack AI Engineer/LLM - Pharma Industry
Build AI-powered enterprise solutions for pharma using LLMs, RAG, and knowledge graphs to create intelligent decision-support tools and synthetic personas.
Senior Full Stack AI Engineer/LLM - Pharma Industry
Build and scale LLM-powered AI solutions for pharma, integrating RAG, knowledge graphs, and cloud-native services to deliver enterprise decision support.
AI Full Stack Engineer
Build and deploy production-grade AI systems end-to-end, from data pipelines and ML models to scalable deployment and monitoring using Python, PyTorch, and MLOps tools.
Senior Full Stack Data & Analytics Developer – Azure Synapse / Microsoft Fabric / Power BI
Build end-to-end reporting solutions for Dynamics 365 using Azure Synapse, Microsoft Fabric, and Power BI, focusing on HR, finance, logistics, and project management dashboards.
Full-Stack Web Developer
Build and maintain full-stack web apps using TypeScript, React, Node.js/NestJS, and databases like MongoDB/PostgreSQL to enhance BioCatch’s fraud-detection platform.
DevOps & DataOps Engineer
Designs and maintains AWS/Azure cloud infrastructure and Python-based data pipelines, migrating to Kubernetes with GitOps and CI/CD while ensuring high availability and reliability.