
51 - 200 employees
💼 Consulting
🏭 Manufacturing
📦 Logistics
Consulting • Manufacturing • Logistics
TMS is a leading digital product engineering company specializing in designing and building innovative solutions for modern digital experiences. As a trusted partner, TMS supports clients throughout the entire product development lifecycle from conception to commercialization, providing technical and non-technical expertise to accelerate the process. By offering services such as software applications, IoT integration, AI and ML advancement, BI & data intelligence, and more, TMS tailors strategic engagement models to shorten development cycles, ensuring faster time-to-market and greater success for its clients.
🔥 4 minutes ago
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51 - 200 employees
💼 Consulting
🏭 Manufacturing
📦 Logistics
Consulting • Manufacturing • Logistics
TMS is a leading digital product engineering company specializing in designing and building innovative solutions for modern digital experiences. As a trusted partner, TMS supports clients throughout the entire product development lifecycle from conception to commercialization, providing technical and non-technical expertise to accelerate the process. By offering services such as software applications, IoT integration, AI and ML advancement, BI & data intelligence, and more, TMS tailors strategic engagement models to shorten development cycles, ensuring faster time-to-market and greater success for its clients.
• Design and implement production-grade enterprise data architectures • Build and support hands-on ETL/ELT, Python, and SQL data pipelines • Design enterprise data warehouse/lakehouse platforms supporting modern AI/ML and Generative AI applications • Design batch and real-time data architectures • Build real-time analytics, event-driven architectures, and streaming data pipelines • Implement CDC/incremental data processing using CDC or Debezium • Develop AI-ready data pipelines, semantic search, RAG/vector-search infrastructure, and Generative AI data architectures • Integrate enterprise data with platforms such as Azure OpenAI, AWS Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex • Work with Treasure Data / Treasure Data CDP and cloud data platforms including AWS, Azure, GCP, Snowflake, or Databricks
• 10+ years of Data Engineering/Data Architecture experience; the posting also states 15+ years of experience • Strong hands-on ETL/ELT, Python, and SQL experience • Enterprise Data Warehousing/Lakehouse architecture experience • Strong AI/Generative AI data engineering experience, including RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock, or similar technologies • Production experience with Treasure Data / Treasure Data CDP • Real-time analytics, event-driven architecture, and streaming data pipelines experience • Apache Kafka experience preferred • Experience with Snowflake, Databricks, or equivalent cloud data platforms • Strong experience with AWS, Azure, or GCP data engineering services • CDC or Debezium and incremental data processing experience • Experience designing batch and real-time enterprise data architectures • Experience building AI-ready data pipelines, semantic search, or RAG infrastructure is a plus • Experience personally designing and implementing production-grade data architecture, rather than only maintaining existing ETL jobs
• Remote work option • Contract role • Confidential handling of applicant information according to EEO guidelines
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