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Designs, builds, and optimizes data pipelines for a fintech company, ensuring reliable data flow to the warehouse using cloud tools like AWS/Google Cloud, Spark, and Kafka.
Build and maintain central data-visualization dashboards and collaborate with teams to standardize metrics and design ETL pipelines using SQL, Python, and Google Cloud tools.
Builds and optimizes enterprise data pipelines and Lakehouse layers using Microsoft Fabric, Power BI, and Dataverse to support AI-driven analytics and reporting.
Lead a distributed team of data engineers, design cloud-scale data architectures, and mentor engineers while staying ahead of data/AI trends for high-impact client projects.
Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics teams.
Senior Data Engineer builds and maintains AI-ready data pipelines for Kroll, collaborating with teams serving financial institutions and government agencies while mentoring junior engineers.
Joinrs matches junior data professionals with entry-level roles in European companies, focusing on AI-driven localization projects.
Build and deploy AI/ML pipelines using LLMs, RAG, and vector databases with Python, LangChain, and FastAPI on GCP.
Owns and evolves a Snowflake data warehouse, builds pipelines between Oracle and Snowflake, and delivers client-ready exports and visualizations.
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and enterprise analytics for a Fortune 500 company.
Build and deploy AI systems for cost estimation and optimization, including LLM-powered tools and MLOps pipelines integrated with enterprise platforms.
Designs and builds scalable Azure-based data pipelines and storage solutions using Synapse, Databricks, and Fabric to enable reliable, high-quality data platforms.
Designs and builds scalable Azure data pipelines and ETL processes to enable data-driven decision-making using Azure data services.
Build and maintain scalable data pipelines on Snowflake using SnowPipe and dbt, ensuring clean, reliable data for analytics and AI/ML workloads.
Build and maintain scalable ETL/ELT pipelines in Azure Data Factory and Databricks to move and transform financial data into Manulife’s data warehouse.
Builds and maintains ELT/ETL pipelines and data marts for a retail analytics platform, transforming OLTP data into governed, business-ready datasets for reporting and forecasting.
Builds and maintains ETL pipelines, data models, and Spark-based transformations on Azure and Databricks to power analytics and reporting.
Designs and builds scalable data pipelines on Azure to ingest, transform, and store healthcare data for analytics using Databricks, Data Factory, and Delta Lake.
Power 4 All Incorporated is seeking an Intelligent Systems Engineer to design and implement AI-powered, data-driven systems that bridge hardware, software, and enterprise platforms. The role focuses on IoT…
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