Data QA

You should possess at least 8 years of experience in data engineering or a related field. Your expertise in Snowflake should be strong, encompassing schema design, performance tuning, and security. Proficiency in Python is required for data manipulation and automation tasks. It is essential to have a solid understanding of data modeling concepts such as star/snowflake schema and normalization. Experience with DBT for data transformation and documentation is a must. Hands-on experience with ETL/ELT tools and orchestration frameworks like Airflow or Prefect is expected. Strong SQL skills are necessary, along with experience in working with large-scale data sets. Familiarity with cloud platforms such as AWS, Azure, or GCP, as well as data services, will be advantageous for this role.,