Data Engineer
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The role
Line1:Design, build, and maintain data pipelines that ingest data from multiple sources into a centralized data warehouse.
Line2:Develop robust, scalable solutions to identify gaps and support data-driven decision making.
Line3:Translate business priorities into data models by collaborating with analysts and product managers.
Line4:Collaborate with a broad range of stakeholders, including data engineers, analysts, data scientists, and finance specialists, to deliver high-quality data products.
Line5:Write clean, well-documented SQL and Python code to implement ETL and data transformation processes.
Line6:Familiarity with Airflow, Spark, and cloud platforms (Google Cloud Platform or AWS) is a plus; strong independence and attention to detail are essential.
Line2:Develop robust, scalable solutions to identify gaps and support data-driven decision making.
Line3:Translate business priorities into data models by collaborating with analysts and product managers.
Line4:Collaborate with a broad range of stakeholders, including data engineers, analysts, data scientists, and finance specialists, to deliver high-quality data products.
Line5:Write clean, well-documented SQL and Python code to implement ETL and data transformation processes.
Line6:Familiarity with Airflow, Spark, and cloud platforms (Google Cloud Platform or AWS) is a plus; strong independence and attention to detail are essential.
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