Data & Quality Assurance Engineer Executive
1 week ago
(JR109554)
We are looking for a Data & Quality Assurance Engineer who will play a hybrid role in data analytics, software testing, and documentation management. This role is ideal for someone with a strong analytical mindset, attention to detail, and technical expertise in both data science and software testing. You will ensure data accuracy, optimize testing processes, and maintain high-quality documentation to support product development and business decisions.
Key Responsibilities
1. Data Analytics & Data Science
- Analyze and interpret large datasets to extract meaningful insights and support business decisions.
- Develop data models, machine learning algorithms, and predictive analytics solutions.
- Design and implement ETL (Extract, Transform, Load) pipelines for data processing.
- Collaborate with stakeholders to define data-driven strategies and improve decision-making.
- Utilize SQL, Python, or R for data analysis, visualization, and automation.
2. Software Testing & Quality Assurance
- Develop and execute test strategies for data-driven applications, APIs, and software systems.
- Perform functional, regression, performance, and automated testing.
- Identify, document, and track bugs to resolution using test management tools (Jira, TestRail, etc.).
- Implement automation frameworks to improve efficiency in software testing.
- Ensure data accuracy and integrity in software outputs and reports.
3. Documentation & Process Management
- Maintain clear and comprehensive documentation for data models, testing processes, and technical workflows.
- Create test plans, test cases, and user guides to ensure product quality and knowledge transfer.
- Document best practices for data governance, security, and compliance.
- Support cross-functional teams with well-structured reports and documentation.
Qualifications & Skills
- Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
- Strong experience in SQL, Python, and data visualization tools (Tableau, Power BI, Matplotlib, etc.).
- Hands-on experience with software testing methodologies, test automation, and defect tracking.
- Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) is a plus.
- Experience with version control (Git) and Agile methodologies.
- Excellent analytical, problem-solving, and communication skills.
- Strong documentation skills with experience in Confluence, Markdown, or technical writing tools.
Preferred Qualifications
- Experience in cloud platforms (AWS, Azure, GCP) for data processing and model deployment.
- Familiarity with CI/CD pipelines and DevOps tools for software testing.
- Exposure to API testing tools such as Postman or RestAssured.
Quality Assurance
Software Engineering
Documentation Skills
Test Cases
Test Automation
Defect Tracking
SQL
JIRA
Attention to Detail
Python
Software Testing
Data Science
Product Development
API
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