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Quality Assurance Software Engineer
2 months ago
- Collaborate within a project team to ensure that the acceptance criteria for product features are fulfilled by developing automated tests using Pytest.
- Create testing scenarios to evaluate and contrast data sources and targets within data pipelines.
- Conduct comprehensive testing of data pipeline processes, including data ingestion, data architecture, data transformations, and overall data integrity.
- Verify that data is provided in the anticipated format, structure, and undergoes the necessary transformations.
- Partner with the Quality Engineering team to refine and optimize code. Share insights and expertise with fellow Quality Engineering members.
- Consistently seek to enhance the Data Development Life Cycle (DDLC), coding standards, Continuous Integration/Continuous Deployment (CI/CD), and engineering best practices.
- Bachelor’s degree in engineering, mathematics, computer science, software engineering, or a related technical field, or equivalent professional experience.
- Proficient in ETL processes and data pipeline validation.
- Strong command of SQL.
- Familiarity with PostgreSQL, Parquet, and Delta Lake.
- Capability to collaborate with team members across various disciplines.
- Proactive in seeking clarification and solutions.
- Ability to engage with remote team members effectively.
- Openness to adapt to different technologies and team roles.
- Excellent programming skills, particularly in Python.
- Experience in an Agile Development environment.
- Knowledge of Spark SQL and PySpark.
- Experience with Databricks, AWS Glue, and Ascend.
- Familiarity with Great Expectations (GX).
- Understanding of tools such as Git, Jenkins, Docker, AWS S3, IntelliJ, PyCharm, and Jira.