Responsibilities: Work within a delivery team to ensure Product Stories acceptance criteria is met by writing automated tests with Pytest Develop test scenarios to analyze and compare data sources and targets in data pipelines Test data pipeline workflows end to end: data loads, data structures, data transformations, and overall data quality Ensure that data is delivered with the expected format, structure, and data transformations Work with QE team to enhance and streamline code. Share knowledge and experience with other QE members Continually strive to improve DDLC, code, CI/CD, and engineering best practices Qualifications: BS in engineering, mathematics, computer science, software development or other technical field, or relevant experience Experience with ETL and data pipeline testing Strong SQL skills Experience with PostgreSQL, Parquet, Delta Lake Ability to work with members of a team in different disciplines. Ability to proactively ask questions, and seek answers Ability to work with remote staff Willingness to be flexible in technologies and flexible in team assignments Excellent coding skills, preferably in Python. Experience working in the Agile Development Framework Nice to Have: Spark SQL, PySpark Databricks, AWS Glue, Ascend Great Expectations (GX) Familiarity with Git, Jenkins, Docker, AWS S3, IntelliJ, PyCharm, Jira HonorVet Technologies
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