Data Quality Test Engineer ID 2750
Data Quality Test Engineer ID 2750
Posted on :
13-02-2025
Employer Active
1 Vacancy
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Jobs by Experience
6-8years
Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
13-02-2025
Job Description
As an Data Quality Test Engineer you will:
- Perform data validation schema verification and transformation testing to ensure data integrity.
- Develop and execute test cases document results and manage defect reporting.
- Work with SQL to perform data validation performance testing and troubleshooting.
- Collaborate with crossfunctional teams to maintain data quality across Azure Databricks ADF and Data Lakehouse environments.
- Utilize ETL tools like SSIS for data integration and validation.
- Implement CI/CD processes using Azure DevOps to streamline testing workflows.
- Apply Agile and DevOps methodologies to optimize testing and development cycles.
- Adapt to evolving ETL and cloud environments while ensuring high data quality.
What You Bring to the Table:
- 68 years of experience in data testing ETL validation and performance tuning.
- Proficiency in SQL for data validation and performance testing.
- Handson experience with Azure Databricks ADF and Data Lakehouse.
- Expertise in ETL tools (SSIS) and CI/CD pipelines (Azure DevOps).
- Strong knowledge of data modeling warehousing and transformations.
- Experience working in an Agile and DevOps environment.
- Analytical mindset with strong problemsolving and communication skills.
- (Optional) Experience in test automation using Selenium Pytest or Robot Framework.
You should possess the ability to:
- Ensure data integrity transformation accuracy and schema consistency.
- Execute thorough test cases and maintain detailed documentation.
- Identify and resolve data discrepancies effectively.
- Work collaboratively with developers data engineers and business stakeholders.
- Continuously improve test processes and adopt new cloudbased testing methodologies.
What We Bring to the Table:
- A dynamic environment that fosters growth and learning in cloud and data technologies.
- Opportunities to work on cuttingedge ETL and cloud data solutions.
- A collaborative and agile work culture focused on data quality and automation.
- Access to modern tools and platforms for continuous improvement.
As an ETL & Data Quality Test Engineer, you will: Perform data validation, schema verification, and transformation testing to ensure data integrity. Develop and execute test cases, document results, and manage defect reporting. Work with SQL to perform data validation, performance testing, and troubleshooting. Collaborate with cross-functional teams to maintain data quality across Azure, Databricks, ADF, and Data Lakehouse environments. Utilize ETL tools like SSIS for data integration and validation. Implement CI/CD processes using Azure DevOps to streamline testing workflows. Apply Agile and DevOps methodologies to optimize testing and development cycles. Adapt to evolving ETL and cloud environments while ensuring high data quality. What You Bring to the Table: 6-8 years of experience in data testing, ETL validation, and performance tuning. Proficiency in SQL for data validation and performance testing. Hands-on experience with Azure, Databricks, ADF, and Data Lakehouse. Expertise in ETL tools (SSIS) and CI/CD pipelines (Azure DevOps). Strong knowledge of data modeling, warehousing, and transformations. Experience working in an Agile and DevOps environment. Analytical mindset with strong problem-solving and communication skills. (Optional) Experience in test automation using Selenium, Pytest, or Robot Framework. You should possess the ability to: Ensure data integrity, transformation accuracy, and schema consistency. Execute thorough test cases and maintain detailed documentation. Identify and resolve data discrepancies effectively. Work collaboratively with developers, data engineers, and business stakeholders. Continuously improve test processes and adopt new cloud-based testing methodologies. What We Bring to the Table: A dynamic environment that fosters growth and learning in cloud and data technologies. Opportunities to work on cutting-edge ETL and cloud data solutions. A collaborative and agile work culture focused on data quality and automation. Access to modern tools and platforms for continuous improvement.
Employment Type
Full Time
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