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Build and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Design and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Build and maintain large-scale data pipelines on Databricks using Python, PySpark, and cloud-native tools to process and deliver clean data for analytics and AI workloads.
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Builds and maintains scalable data pipelines for Allegro’s clickstream, ensuring high-quality data for AI agents and business dashboards using Python, Spark, and streaming validation.
Lead the design and deployment of generative AI and agentic AI systems for healthcare, including LLMs, RAG, and AI agents, while ensuring responsible, scalable, and compliant solutions.
Build Power BI dashboards and KPIs using governed datasets to turn business data into actionable insights across Finance, Inventory, and Operations, while identifying practical AI opportunities.
Lead a team of data scientists to build ML models that classify and sort recycled plastics in real time using spectral sensor data and deep learning.
Builds and leads a Django REST/React SaaS platform on Azure that unifies cybersecurity threat detection, MDR, and compliance automation with AI-driven insights and real-time dashboards.
Develops and optimizes computer vision algorithms into production-ready code for embedded systems, focusing on performance and hardware constraints using C++ and Python.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Design and build a cloud-based microservices platform in Java/Spring Boot that ingests IoT sensor data, exposes REST APIs, and powers dashboards for energy and building optimization.
Build and maintain scalable data pipelines and warehouses for a global food-delivery platform using Python, SQL, and GCP, ensuring clean, reliable data for analytics and ML.
Build and ship AI-powered features (LLM agents, RAG, predictive ops) for a cloud-based network management platform using Go/TypeScript, collaborating with data engineers and product teams.
Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
Build and optimize real-time and batch data pipelines for a fintech platform handling billions of events daily, using Spark, Kafka, and streaming frameworks to power fraud detection and AI products.
Principal Data Engineer designs and builds scalable cloud data pipelines using Snowflake, Databricks, and AWS, while integrating AI agents for automated data quality and transformation workflows.
Lead the design and delivery of enterprise-grade data and modeling solutions for Finance, building scalable pipelines, forecasting engines, and semantic layers on cloud data platforms to support FP&A, regulatory reporting, and analytics.
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