Our client provides global enterprises with a real-time Carbon Planning & Intelligence platform to power forward-looking emissions management, so they can close the gap between climate-related actions and intentions.
We are seeking a highly skilled Data Quality Assurance (DQA) Engineer with experience in data quality and performance testing to ensure the accuracy, completeness, and quality of data across all stages of the data lifecycle. This role will focus on validating data, optimizing performance, and developing automation for ongoing QA processes.
responsibilities :
70% of the role will involve data quality and data quality automation:
Source Data Validation:
Perform validation of source data to ensure data integrity, completeness, and accuracy.
Collaborate with data providers to address discrepancies and ensure data meets quality standards.
Document and resolve data quality issues, inconsistencies, and gaps.
ETL and Data Pipeline QA:
Validate ETL (Extract, Transform, Load) processes to ensure accurate data transformations and loading.
Design and execute test plans to verify the correct implementation of business rules within ETL processes.
Develop automated test scripts for data validation, ETL processes, and report functionality to streamline QA processes.
20% of the role will involve functional testing:
Functional and Reporting QA:
Conduct functional testing to verify the correct functionality of implemented features.
Ensure data reports accurately reflect the underlying data and meet business requirements.
10% of the role will involve performance testing:
Performance Testing:
Conduct performance testing to ensure efficiency and scalability across data pipelines, databases, and reports.
Identify and resolve bottlenecks to optimize system performance.
requirements-expected :
Strong coding skills with 3+ years of experience in languages like Python, JavaScript, or similar for writing automated tests.
Proven experience in data quality assurance, testing, and performance optimization.
Strong knowledge of database systems, ETL processes, and reporting tools.
Experience with SQL and data query tools for data validation.
Familiarity with BI tools (e.g., Tableau, Power BI, etc.).
Solid understanding of performance testing methodologies and tools.
Experience with performance testing tools (e.g., JMeter, LoadRunner, etc.).
Excellent analytical skills and attention to detail.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
