Data QA Engineer

• →Validate data accuracy, completeness, and consistency across multiple systems and environments.
• →Perform data quality testing for ETL/ELT pipelines, data warehouses, and reporting solutions.
• →Design and execute test plans, test cases, and validation strategies for data-centric applications.
• →Write complex SQL queries for data validation, reconciliation, and root cause analysis.
• →Analyze and troubleshoot data discrepancies across source and target systems.
• →Review, understand, and debug Python-based data pipeline code when necessary.
• →Collaborate with data engineers, software engineers, analysts, and business stakeholders to ensure data integrity.
• →Utilize AI-powered tools to improve testing efficiency, investigation, analysis, and productivity.
• →Work independently and take ownership of data quality initiatives throughout the project lifecycle.

• Strong knowledge of relational databases and database concepts.
• Advanced SQL skills with the ability to write complex queries for:
  • Data validation
  • Data reconciliation
  • Root cause analysis
  • Data quality investigations
• Experience working with large datasets and optimizing data validation processes.

• Solid understanding of data engineering principles and best practices.
• Experience validating data pipelines and data processing workflows.
• Understanding of ETL/ELT architectures and data movement processes.
• Knowledge of data warehouse concepts and dimensional modeling.
• Familiarity with OLAP technologies and modern cloud data platforms such as Redshift, Snowflake, BigQuery, or equivalent.

• Strong proficiency in Python.
• Ability to read, understand, analyze, and debug data pipeline code.
• Experience using Python for data validation, testing, or data analysis activities.

• Experience utilizing AI tools to improve testing, analysis, and productivity.
• Strong analytical thinking and problem-solving skills.
• Excellent attention to detail.
• Ability to work independently with minimal supervision.
• Strong communication and collaboration skills.

• Experience with data quality frameworks and monitoring tools.
• Experience in testing cloud-based data platforms.
• Knowledge of Apache Airflow, dbt, Spark, or similar data technologies.
• Experience working in Agile/Scrum environments.
• Familiarity with CI/CD practices for data engineering projects.

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Founded in California in 2004, Codeminders specializes in developing cutting-edge software solutions for high-tech companies in the Silicon Valley of California. Our expertise spans a wide range of industries, with a primary focus on modern technologies such as AI, mobile applications, video conferencing, and cloud computing.

As a member of the Codeminders team, you’ll have the unique opportunity to work on innovative projects. Whether it’s collaborating with dynamic startups or established companies serving millions of users, every project is a chance to shape the future of technology.

We believe in empowering our team members with the tools, opportunities, and culture to thrive. Here's what you can expect when you join us:

• Innovation at Its Core: Work on transformative projects that utilize the latest technologies, tools, and methodologies.
• Global Collaboration: Partner with world-class engineers from both the US and Ukraine, fostering diverse perspectives and international exposure.
• Strong Ethical Foundation: We stand firm in our values by maintaining zero business ties with Russia, Belarus, and temporarily occupied Ukrainian territories (Crimea, Donbas, etc.).