Data Engineer / Data Scientist

We are seeking a highly skilled Data Engineer / Data Scientist with strong expertise in Cloud Data Engineering, Artificial Intelligence, and Advanced Analytics. The ideal candidate will have hands-on experience designing scalable data pipelines, developing enterprise-grade data solutions, and implementing production-ready AI applications, including Large Language Models (LLMs) and Generative AI. This role requires a strong foundation in modern data platforms, machine learning, and cloud technologies to build innovative solutions that drive business insights and automation. Key Responsibilities • Design, build, and optimize scalable data pipelines and data models to support analytics, AI, and business intelligence initiatives. • Develop and maintain ETL/ELT workflows using Azure Data Factory (ADF) and cloud-native data integration technologies. • Build and manage enterprise data solutions using Snowflake for high-performance, cost-efficient analytics. • Design, develop, and deploy AI/ML solutions, including Deep Learning, NLP, Large Language Models (LLMs), and Generative AI. • Perform AI experimentation, model development, and rapid prototyping to solve business challenges. • Develop end-to-end machine learning pipelines, including data preparation, feature engineering, model deployment, and monitoring. • Create interactive dashboards and analytical applications that deliver actionable business insights. • Implement CI/CD pipelines for data engineering and machine learning workflows to improve automation and deployment efficiency. • Collaborate with cross-functional teams, including Engineering, Product, Analytics, and Business stakeholders, to deliver enterprise data solutions. • Ensure adherence to data governance, security, quality, and observability best practices. • Stay current with emerging technologies in AI, Data Engineering, and Cloud Analytics to drive continuous innovation. Required Qualifications • Strong proficiency in Python for data engineering, analytics, and machine learning. • Hands-on experience with Snowflake as a cloud data warehouse. • Experience developing ETL/ELT pipelines using Azure Data Factory (ADF) or similar data integration tools. • Strong experience with AI/ML, including: • Deep Learning • Natural Language Processing (NLP) • Large Language Models (LLMs) • Generative AI • Experience building AI-driven solutions and analytical models for real-world business applications. • Strong understanding of data modeling, data quality, and scalable data architecture. • Experience implementing CI/CD pipelines using modern DevOps practices. • Experience with BI and visualization tools such as Power BI or Tableau. • Experience with cloud platforms (Azure preferred; AWS or GCP acceptable). • Excellent communication skills with the ability to translate technical concepts into business value. Preferred Qualifications • Experience with MLOps, model deployment, monitoring, and observability. • Experience working with Telecom data, including: • LTE • VoLTE • SMS • Data Usage • Roaming • Familiarity with: • Vector Databases • Embeddings • Retrieval-Augmented Generation (RAG) • Enterprise LLM integrations ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers