Senior Data Engineer / AI Engineer

Key Responsibilities:Architect and build scalable Azure-based data platformsDevelop and optimize ETL/ELT pipelines using Python, PySpark, and SQLDesign robust data models (dimensional, SCD, historized data)Implement data governance, security, and compliance frameworksWork with Databricks, ADF, Synapse, and other Azure servicesContribute to AI-assisted SDLC and agentic workflowsRequired Skills:1015+ years in data engineering / architectureStrong hands-on experience with:Azure Data Lake (ADLS Gen2

Senior Databricks Solution Engineer Enterprise Data Platform (EDP) & Customer Data Platform (CDP) Azure Databricks | Lakeflow | Delta Live Tables | ADF | Kafka | MongoDB This role blends solution architecture, handson data engineering, and enterprise enablement, with a strong focus on retail, customer, marketing, and digital data. You will define and enforce enterprise data standards, build reusable frameworks, and deliver secure, governed data pipelines that support analytics, personalization,

Role: Supply Chain Data Lead Location: Philadelphia, PA (Onsite 5 Days) Duration: 12+ months with possible extension Key Responsibilities Data Architecture & Design Responsible in designing Supply Chain Anomaly Detection and Revenue Assurance platform for Order processing data platform. Define and own end-to-end supply chain data architecture, including source ingestion, transformation, storage, and consumption layers. Design data models for supply chain domains such as inventory, logistics, ful

Consultant Requirements On-Prem LLM & Vector DB Implementation Core Experience Hands-on experience deploying open-source LLMs such as Meta Llama 3 and Mistral / Mixtral in on-prem or private environmentsStrong proficiency in Python for LLM inference, prompt engineering, and integrationExperience with CPU-based inference , model quantization, and performance tuning Vector Databases & RAG Practical experience with open-source vector databases such as Qdrant , Chroma , Milvus , or pgvec