Experience in Data Quality Assurance: 1-3 years of experience in data quality assurance, with a demonstrated ability to manage large and complex datasets, particularly in the infrastructure/construction domain.
Python Proficiency: Strong skills in Python programming, particularly for data manipulation, ETL processes, and automation tasks.
ETL and Data Management Experience: Experience in developing, testing, and maintaining ETL jobs, and understanding of data warehousing principles.
Containerization and Workflow Management: Experience with Docker and Kubernetes for containerization and orchestration. Familiarity with workflow management tools like Apache Airflow.
Analytical and Problem-Solving Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Communication Skills: Proficient in English with excellent verbal and written communication skills, capable of articulating technical concepts to non-technical stakeholders.