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Builds BI dashboards and KPI reports, then layers in AI/GenAI to automate analysis and deliver predictive insights that guide business decisions.
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 GCP services.
Senior data scientist builds ML models and dashboards to optimize oil & gas operations, using Python, SQL, and Power BI.
Builds ML models and dashboards to optimize oil & gas operations using Python, SQL, and Power BI.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Data Analyst & QA Engineer builds and tests data pipelines, profiles datasets, and turns validated data into clear insights for life-sciences projects using Python, SQL, and Power BI.
Builds and maintains secure, scalable data pipelines for Roche’s DataOne ecosystem, transforming security telemetry into AI-ready datasets using Python, Snowflake, and dbt.
Senior Data Engineer builds and scales high-throughput marketing data pipelines and AI-driven infrastructure for eDreams’ travel platform, using Python, SQL, dbt, Dagster, and Google Cloud.
Design and maintain Snowflake-based data pipelines and warehouses that feed credit risk models, analytics, and reporting for a global distributor’s credit function.
Build full-stack features in React, Node.js, and TypeScript for fintech, iGaming, and marketing products, with optional AI and monitoring integrations.
Build and maintain cloud-based ELT pipelines in DBT Cloud and Snowflake, ensuring data quality and governance while migrating legacy systems to a unified CDP instance.
Build and deploy ML models and data pipelines using Python, Spark, and Airflow, integrating classic ML with LLMs for anomaly detection in production systems.
Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
Designs and optimizes data validation pipelines for high-volume clickstream data to ensure quality before it feeds core AI systems.
Build AI-powered data workflows in Snowflake for a bank: integrate LLMs via Cortex, design RAG pipelines, and ship Streamlit features that help engineers and business users query and analyze financial data.
Lead a team building scalable data pipelines and platforms for enterprises using Spark, Airflow, and cloud tech to process terabytes of streaming and batch data for analytics and ML.
Build and optimize large-scale data pipelines for automotive and aerospace clients using Spark, Airflow, and cloud platforms to enable real-time analytics and ML-driven insights.
Build and optimize large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring scalable, secure data processing for enterprise clients.
Builds and optimizes Databricks/Spark pipelines and Delta Lake models to power BI dashboards and ML workloads for a global brewer’s data ecosystem.
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