Job
Description
At Dario, every day presents a new opportunity for you to make a difference. The company is dedicated to simplifying better health, and your contribution as an employee directly impacts the health improvement of hundreds of thousands of individuals worldwide. If you are passionate, intelligent, and a team player, with a drive to make a meaningful impact in your career, then we are looking for you. **Role Overview:** As a Data Quality Engineer at Dario, your key responsibility will be to design and implement test plans to validate data pipelines, transformations, and business logic. Your role will involve conducting data validation and reconciliation across various systems, such as Snowflake and DBT. Developing automated data quality checks using Python, SQL, and testing frameworks will also be a crucial aspect of your daily tasks. Collaboration with Data Engineering and Analytics teams is essential to ensure the accuracy and relevance of data used for reporting and KPIs. Validating business rules and metrics implemented in dashboards, like Tableau, and ensuring alignment between data definitions, business expectations, and actual outputs are crucial aspects of the job. Identifying data quality issues, reporting defects using JIRA, and seeing them through to resolution will be part of your daily tasks. Maintaining test documentation, including STP, STD, STR for data validation processes, and monitoring scheduled jobs and alerting systems for data pipeline failures will also be within your scope. **Key Responsibilities:** - Design and implement test plans for data pipelines, transformations, and business logic - Conduct data validation and reconciliation across various systems - Develop automated data quality checks using Python, SQL, and testing frameworks - Collaborate with Data Engineering and Analytics teams to ensure data accuracy and relevance - Validate business rules and metrics in dashboards like Tableau - Identify data quality issues, report defects using JIRA, and follow through to resolution - Maintain test documentation and monitor scheduled jobs and alerting systems for data pipeline failures **Qualifications Required:** - At least 5 years of experience in QA or data quality roles - Strong proficiency in Python and SQL - Experience in testing ETL/ELT processes, preferably in Snowflake or similar DWH platforms - Familiarity with data pipeline tools like Airflow, DBT, Fivetran, etc. - Strong understanding of QA methodologies (STP/STD/STR) **Additional Company Details:** - Preferred qualifications include experience with test automation tools like PyTest, Great Expectations - Familiarity with validating dashboards in Tableau or similar tools - Knowledge of Git, JIRA, and CI/CD processes - Knowledge of healthcare data or analytics is considered a plus If you possess the required qualifications and skills, and you are looking to join a dynamic team dedicated to improving global health outcomes, then we encourage you to apply for this exciting opportunity at Dario.,
