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Build and maintain data pipelines, lakehouse/warehouse structures, and semantic models on Microsoft Fabric to ingest and transform data from ERP systems, APIs, and IoT platforms for reporting and analytics.
Build and maintain scalable data pipelines and warehousing solutions in Azure to support Kinetic’s sustainable transport business with trusted, high-quality data.
Build and maintain scalable data pipelines in Microsoft Fabric to power analytics, reporting, and AI initiatives for a law firm.
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Senior Data Engineer building scalable cloud data pipelines and platforms to support AI, analytics, and enterprise decision-making using Python, PySpark, and Azure technologies.
Build and maintain a marketing data platform that ingests and standardizes data from digital ads, agencies, and analytics tools to power marketing analytics and performance measurement.
Design and build scalable AWS-based data pipelines and ETL/ELT processes using Snowflake and Kafka to support enterprise analytics and reporting.
Build secure, full-stack React apps and data-processing tools for Australian Defence systems, using XML/JSON, schema languages, and Java back-end services.
AI Data Engineer (Data & Analytics) Data and Analytics at COMPLY: COMPLY is the worlds leading aggregator of financial and regulatory data to support compliance. Our mission is to help financial institutions meet…
Build and deploy AI/ML models for demand forecasting, personalization, and content enrichment using Python and PyTorch, then integrate them into production systems.
Design and lead enterprise-scale Data & AI solutions on Microsoft Azure, using Fabric, Databricks, and Purview to build scalable analytics and AI platforms for clients.
Build and maintain enterprise-scale data platforms using Databricks, Spark, and ETL/ELT pipelines for large-scale data ingestion and integration.
Build and maintain BI reports and dashboards in Power BI/Tableau, wrangle data with Alteryx, and manage analytics platforms for a diversified conglomerate.
Build predictive models and AI/LLM pipelines to drive energy trading decisions, using Python, SQL, and workflow orchestration tools.
Design and lead enterprise-scale Azure data platforms and AI solutions using Fabric, Databricks, Synapse, and Power BI to modernize analytics and enable AI/ML workflows.
Lead a data engineering team to build and operate a secure, scalable Databricks lakehouse on Azure for banking analytics, AI, and regulatory reporting using Kafka, dbt, and Unity Catalog.
Design and optimize scalable data platforms and pipelines using Python, PySpark, and Databricks to build Lakehouse architectures and cloud-native data lakes/warehouses.
Lead Oracle DBA role for a large outsource firm supporting banking clients; designs, migrates, and tunes Oracle 19c/21c RAC, Data Guard, and ODS environments on Linux.
Build and maintain scalable data pipelines to process complex biological datasets for training AI foundation models in drug discovery and healthcare.
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