To support data migration initiatives, the contract Mid-Level Data Engineer will develop, test, and validate ETL/ELT processes while ensuring high-quality data delivery in a remote environment. Key Responsibilities Develop and implement ETL/ELT pipeline components based on architectural designs and technical specifications Execute data quality checks, reconciliation processes, and migration validation activities to ensure data accuracy and integrity Collaborate with cross-functional teams to ensure successful delivery of data engineering projects Required Qualifications 3-5 years of hands-on experience in Data Engineering Strong proficiency in SQL and Python Experience designing, building, and supporting cloud-based data pipelines Working knowledge of Google Cloud Platform (GCP), including BigQuery and related data services Familiarity with data migration, data validation, and data quality processes