Responsibilities
Design, develop, and maintain ETL/ELT pipelines, data warehouses, data lakes, and databases, using SQL, Python, and big data technologies. Ensure data quality, security, governance, performance, and reliability while collaborating with analysts, data scientists, and business teams and resolving pipeline issues.
Requirements
The role requires programming skills in Python and SQL, experience with databases, ETL tools, big data technologies, cloud platforms, data warehouses, and workflow orchestration. Preferred qualifications include cloud-based pipeline experience, data and dimensional modeling, distributed computing knowledge, familiarity with CI/CD, Docker, and pipeline testing, and strong analytical and problem-solving skills.
