Job Overview:
We are seeking an enthusiastic Junior Data Quality & Analytics Engineer to join our dynamic team at Central Food Wholesale. The ideal candidate will help ensure the quality and reliability of our data pipelines, ETL processes, and transformations. 

You will work closely with senior team members to deliver high-quality data products, develop and execute manual test cases, and address data quality issues.

Key Roles and Responsibilities:

• Assistance: Support cross-functional teams including data engineering, product owners, and development leads in delivering high-quality data products.
• Test Case Development: Assist in developing and executing manual test cases for software applications to ensure data pipeline reliability.
• Integration Testing: Help conduct end-to-end integration testing between multiple independent systems and interfaces such as flat files and APIs (ETL).
• GCP & Big Query: Learn to utilize GCP services, Big Query data warehouse, and ODS to test data integration and migration processes.
• Functional Testing: Participate in functional, integration, regression, and
  performance testing of database systems using industry-standard tools and
  technologies.
• Documentation: Assist in creating and maintaining documentation of test plans, test cases, and testing results.

Qualifications:

• Learning & Engagement: Show eagerness to work closely with product owners and development leads to learning about testing strategies.
• Process Improvement: Demonstrate interest in identifying areas for improvement in data quality processes and proposing solutions to enhance data accuracy and reliability.
• Collaboration: Work collaboratively with data engineering and development
  teams to implement data quality best practices and optimize data workflows.
• Documentation: Help document data quality issues, testing procedures, and resolutions for future reference and knowledge sharing.
• Data Processing Knowledge: Basic understanding of data processing concepts, including mapping documents and understanding complex data relationships.
• Requirement Analysis: Willingness to learn about requirement analysis, defect tracking, test reporting, and signoff.
• Analytical Skills: Develop strong analytical and technical skills to address data quality issues.
• Data Governance: Assist in developing and maintaining data governance policies and standards.
• Reporting: Help design, monitor, and maintain QA reports, KPIs, and quality trends for internal data systems.
• Problem Solving: Demonstrate a detailed and organized approach to solving problems.
• Communication: Show excellent communication skills that prioritize
  collaboration over conflict.
• Agile Experience: Willingness to learn about Agile methodologies.

Minimum Requirements:

• Over two years of experience in a related role.
• Basic experience in SQL and Python for testing and analytics.
• A keen eye for detail with strong problem-solving skills.
• Basic experience in designing test cases and manual testing.
• Ability to track data issues and address them effectively.
• Interest in learning about GCP services and BigQuery.

Familiarity with industry-standard QA/Tester tools and technologies at a beginner level, such as:
Postman: For API testing.
DBT (Data Build Tool): For data testing and validation.
GitHub Action: For continuous integration and deployment (CI/CD).
Git: For version control.
JIRA: For issue and project tracking.