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Google BigQuery\n\n ETL/ELT Development: Ability to build and maintain data ingestion, transformation, and loading processes.\n\n Workflow Orchestration: Familiarity with Apache Airflow, Mage.ai, or similar workflow orchestration tools.\n\n Data Transformation: Understanding of data transformation frameworks such as dbt or equivalent SQL-based transformation approaches.\n\n Data Modeling: Knowledge of dimensional modeling, fact and dimension tables, and star schema design.\n\n Cloud Technologies: Basic knowledge of cloud storage, compute, and managed data services.\n\n Version Control: Experience using Git for source code management and collaboration.\n\n Data Quality: Ability to implement basic data validation, logging, and pipeline monitoring.\n\n Problem-Solving: Strong analytical thinking, debugging skills, and ability to investigate data inconsistencies.\n\n Collaboration: Ability to communicate technical concepts clearly and work effectively with analysts, engineers, and business 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