Junior Data QA

Description

Job Summary: We are seeking a Junior Data QA to ensure data quality, integrity, and reliability in analytical environments, participating in agile ceremonies and collaborating with multidisciplinary teams. Key Highlights: 1. Working with data quality, integrity, and reliability 2. Participating in agile ceremonies and developing test plans 3. Collaborating with Data Engineering, BI, and Product teams **?? We are hiring:** Junior Data QA We are a technology company with over 30 years in the market, distinguished by our IT Solutions, Services, and Products focused on excellence and innovation. Currently, we have an opportunity for individuals with attention to detail, logical reasoning, and interest in ensuring data quality within analytical environments! **?? Location:** Florianópolis City Center – SES/SC ?? On-site work model **?? Key Responsibilities:** Ensure the quality, integrity, and reliability of data used by the company; Participate in the team’s agile ceremonies (e.g., planning and daily stand-ups); Develop test plans and perform testing on ETL/ELT pipelines; Validate data with engineers and analysts; Identify and report data defects, inconsistencies, and anomalies; Document executed tests, identified errors, and validation patterns; Collaborate with Data Engineering, BI, and Product teams to continuously improve data QA processes. **??? Requirements:** Experience validating data in ETL/ELT pipelines; Completed or ongoing Bachelor’s degree; Relevant professional experience; Basic to intermediate SQL knowledge for queries and comparisons; Ability to identify and report data anomalies or quality issues; Knowledge of automated data testing (e.g., regression, consistency, and integrity); Familiarity with relational databases (PostgreSQL, MySQL, SQL Server); Basic understanding of Git for version control. **?? Desirable (you can grow with us):** Basic knowledge of data architecture and pipeline automation; Experience with Python (pandas, pytest, data validation); Familiarity with tools such as Great Expectations and Airflow; Experience using BI tools (e.g., Power BI) for dashboard validation. **?? Differentiators:** Practical experience with automated data testing in analytical environments; Previous work in multidisciplinary teams involving Data Engineering and BI; Involvement in continuous data quality improvement initiatives; Knowledge of QA practices specifically tailored to data and analytics. **?? Soft Skills We Value:** Attention to detail and precision; Logical reasoning and critical thinking about data; Proactivity in suggesting improvements; Strong communication skills with both technical and business teams; Organizational skills for clear and structured documentation; Collaboration and teamwork spirit. **??? Tools and Tech Stack:** **Languages:** SQL, Python (pandas, pytest); **Frameworks:** Great Expectations; **Databases:** PostgreSQL, MySQL, SQL Server; **Orchestration:** Airflow; BI: Power BI; **Version Control:** Git. **?? What We Offer:** **?? Salary:** R$ 4\.292,18 **??? Meal Allowance:** R$ 28.00 per business day ?? Transportation Allowance ?? Health and dental insurance ??? SESC membership benefits **Minimum Education Requirement:** Bachelor’s degree