Proficiency in programming languages like Python and SQL.
Knowledge of data warehousing concepts and architecture.
Familiarity with ETL/ELT tools and practices.
Strong knowledge of data modeling, database architecture, and design principles.
Experience with data quality and data governance best practices.
Familiarity with machine learning pipelines (optional).
Excellent problem-solving and communication skills (very important as person must work independently with various teams)
Ability to work in an Agile environment.