Hybrid
Full Time
Q2 is seeking an Associate Data Engineer with a solid foundation in data ingestion and transformation, SQL, Python, and PySpark. Experienced in developing and maintaining ELT/ELT pipelines, validating data, and ensuring data quality across environments. Familiar with cloud platforms and modern data engineering tools such as Snowflake, DBT, Airflow, and Azure. Works closely with senior engineers to understand requirements and deliver reliable, scalable data solutions
Experience with some of the technologies is desired:
Q2
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