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Data Engineer(DBT, SQL, Airflow, BQ; Public Investments)
Job Description:
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Design, build and maintain scalable data pipelines using SQL, dbt, Airflow and BigQuery.
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Develop dbt models and transformations for reliable and reusable data processing.
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Build and manage Airflow DAGs for data ingestion, transformation and workflow orchestration.
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Develop complex SQL queries and optimize data processing and BigQuery performance.
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Design and maintain data models and data warehouse solutions on BigQuery.
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Implement data quality checks, validation and reconciliation across data pipelines.
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Work with investment/public-market data including portfolio, securities, market or investment-related datasets.
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