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About Optima Medical: Optima Medical is an Arizona-based medical group consisting of 30+ locations and over 130 medical providers, caring for more than 200,000 patients statewide. Our mission is to improve the quality…
Build predictive models and automate data workflows using Python, SQL, and Tableau to optimize business processes and drive insights for Schneider Electric’s climate-tech operations.
Designs and maintains data pipelines and infrastructure using Azure Databricks, Python, and Spark to support analytics and ML models for a global logistics company.
Analyze business data, build dashboards, and automate reports to guide decisions using SQL, Oracle, JavaScript, SPSS, and SAS.
Senior Data Engineer designs and builds big-data pipelines and Spark/Java applications to support risk analytics in a fintech firm, optimizing Hadoop/Spark workloads on Cloudera.
Builds and maintains scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to process large datasets and generate business insights.
Build and maintain scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to power business insights and decision-making.
Build data-mining pipelines and ML models to extract insights from e-commerce data, tagging systems, and user behavior to optimize GMV and productization.
Designs and automates business processes using Power BI, Power Automate, and Power Apps to deliver reports and dashboards that improve data-driven decision making.
Designs and deploys AI/ML models to automate ERP workflows, build demand forecasts, NLP systems, and LLM-based tools, and exposes insights via APIs and lightweight UIs.
Build and maintain data pipelines and lakes to support analytics for Nexperia’s global semiconductor manufacturing operations, using Spark, Kafka, SQL, and Python.
Build and maintain a data-mining platform that flags high-risk transactions for compliance review and delivers executive dashboards.
Design and scale RAG pipelines that turn IT logs and docs into vector embeddings, maintain high-performance vector databases, and build semantic layers for AI agents.
Builds and optimizes large-scale data pipelines and storage systems for TikTok’s recommendation engine using Java, Spark, Flink, and Kafka.
Build and optimize large-scale recommendation system architectures using big data tools like Spark and Flink to process and analyze user data for TikTok’s AI-driven content feeds.
Designs offline data architectures and scalable storage/compute systems for TikTok’s e-commerce recommendation and search infrastructure, optimizing pipelines for ML feature generation.
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Lead a cloud-based data engineering team to build and maintain robust data pipelines, migrate legacy systems to Snowflake and AWS Glue, and ensure high-quality data flows for analytics and reporting.
Builds and maintains ETL pipelines, data warehouses, and analytics for mobile/IoT/app data using Python, SQL, and big-data tools to deliver insights for overseas operations.
Designs offline data architectures for TikTok’s large-scale recommendation systems, building scalable storage and computing systems while applying data mining and NLP to extract insights from big datasets.
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