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Lead the design, governance, and scaling of a data lakehouse (SAP BDC/Databricks) and deliver predictive analytics/AI use cases to drive business decisions.
Designs and maintains scalable data platforms and ETL/ELT pipelines for enterprise data warehouses using Spark, Kafka, and cloud services like BigQuery.
Build and scale data pipelines connecting marketing APIs to power an AI-driven marketing platform, ensuring reliability for thousands of users.
Lead a data engineering team to build sales-focused data products, implement AI enhancements, and drive B2B sales cycles for a mobility company.
Lead a team building sales-focused data products and AI-driven analytics for a logistics platform, modeling data flows and partnering with sales, product, and marketing teams.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions, optimizing delivery routes and customer experiences.
Design and maintain scalable ETL/ELT pipelines and data platforms using cloud tools, SQL, Python/Scala/Java, and big data tech like Spark and Kafka.
Lead the design and implementation of enterprise data platforms, data architecture, and BI systems for a pharmaceutical company, ensuring scalable, secure, and high-performing solutions.
Senior Data Engineer builds and maintains AWS-based data pipelines using Redshift, Oracle PL/SQL, and PostgreSQL, optimizing queries and ETL workflows for scalable analytics.
Build and deploy AI-powered applications using LLMs, RAG pipelines, and vector search. Integrate LLM APIs into production systems with Python and cloud tools.
QA Engineer tests an AI-powered enterprise knowledge platform, writing E2E tests with Playwright, API tests in pytest, and validating security and bilingual flows.
Build and maintain full-stack web applications using Laravel, Node.js, PHP, React.js, and Tailwind CSS for a product-focused team.
Build and optimize AI/ML models using Python, TensorFlow, and PyTorch, focusing on RAG, LangChain, and locally run AI with Ollama for production deployment.
Designs and integrates AI/ML solutions into a data lakehouse using Spark, Kafka, and Jupyter Enterprise Gateway for batch and real-time inference.
Designs Salesforce integrations for an edtech platform, automating GTM workflows with AI and connecting tools like LeanData, Stripe, Gong, HubSpot, and Intercom.
Builds and maintains Azure data pipelines, Synapse analytics, and Power BI reports to transform raw data into business insights.
Designs, builds, and maintains scalable data pipelines and infrastructure to ensure high-quality data for analytics and AI-driven decision-making using SQL and Python.
Build and maintain ETL pipelines and data warehouses to feed BI tools like Power BI, ensuring clean, structured datasets for analytics and price-prediction AI in a SaaS travel-tech stack.
Designs, builds, and maintains data pipelines and analytics solutions using AWS, SQL, and big data tools to process structured and unstructured data.
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