Job Summary: We are seeking a highly skilled part-time Lead\Architect Data Engineer to design, develop, and optimize our Data Warehouse solutions. The ideal candidate will have extensive experience in ETL/ELT development, data modeling, and big data technologies, ensuring efficient data processing and analytics. This role requires strong collaboration with Data Analysts, Data Scientists, and Business Stakeholders to drive data-driven decision-making.
Key Responsibilities: * Design, develop, and maintain scalable data warehouse solutions. * Build and optimize ETL/ELT pipelines for efficient data integration. * Design and implement data models to support analytical and reporting needs. * Ensure data integrity, quality, and security across all pipelines. * Optimize data performance and scalability using best practices. * Work with big data technologies such as Redshift. * Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. * Implement CI/CD pipelines for data workflows. * Monitor, troubleshoot, and improve data processes and system performance. * Stay updated with industry trends and emerging technologies in data engineering.
Required Qualifications: * 7+ years of experience in Data Engineering field and at least 1+ years of experience as Lead\Architect. * Strong expertise in SQL and data modeling concepts. * Hands-on experience with Airflow. * Experience working with Redshift. * Proficiency in Python for data processing. * Strong understanding of data governance, security, and compliance. * Experience in implementing CI/CD pipelines for data workflows. * Ability to work independently and collaboratively in an agile environment. * Excellent problem-solving and analytical skills.
