• Responsible for building, maintaining, and scaling big data platforms • Work closely with Data Science teams to set up and automate machine learning models and algorithms for production use • Build and optimize ETL/ELT data pipelines that power business intelligence and analytics initiatives • Transform raw, structured, and semi-structured data into actionable insights • Leverage cloud services (AWS preferred) including Lambda, S3, SageMaker, and more to build scalable data solutions • Pair program with engineers, support analytics teams, and work within CI/CD pipelines

• Join a dynamic technology consultancy where data engineering excellence drives business transformation • Architect and build robust data pipelines using cutting-edge Azure technologies • Lead the design of scalable data solutions that transform raw information into valuable business assets • Work on sophisticated data platforms built on Azure with Databricks at the core • Design end-to-end data pipelines handling complex ETL and ELT workflows • Transform raw data into analytics-ready datasets • Architect solutions using modern data modeling methodologies including Kimball, Inmon, and Data Vault, ensuring scalability and maintainability across multiple business domains

• Feature engineering at scale • Architect unstructured data pipelines • Orchestrate ML workflows using Dagster or Airflow • Optimize compute & cost • Build "dataset-as-code" • Infrastructure ownership with Kubernetes for scalability

• Modernizing and developing e-commerce applications • Develop, test, and maintain high-quality Magento applications and extensions. • Customize Magento themes and templates to create tailored user experiences. • Integrate third-party modules and APIs to enhance platform functionality. • Optimize Magento sites for performance, scalability, and security. • Troubleshoot and debug issues to ensure seamless operation of e-commerce platforms. • Collaborate with designers and frontend developers to implement new features and enhancements. • Stay updated with the latest Magento developments, trends, and best practices to recommend improvements. • Participate in code reviews and share knowledge with team members to foster a collaborative environment.