Data Quality QA Engineer(ETL Tester)

Trebecon LLC
Boston, United States of America
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Boston, United States of America

Tech stack

Amazon Web Services (AWS)
Cloud Database
Data Auditing
Data Validation
Information Engineering
Data Governance
Data Integrity
ETL
Data Profiling
Data Warehousing
Database Testing
Monitoring of Systems
Python
Scrum
Power BI
Standard Sql
SQL Databases
Tableau
Scripting (Bash/Python/Go/Ruby)
Cloud Platform System
Snowflake
PySpark
Data Pipelines

Job description

We are seeking an experienced Data Quality QA Engineer with expertise in validating enterprise data across cloud-based data platforms. The ideal candidate will have strong experience in data quality testing, SQL, ETL validation, and cloud data warehouses, with the ability to ensure data accuracy, completeness, and consistency throughout the data lifecycle., * Design and execute comprehensive data quality test plans, test cases, and validation strategies.

  • Validate data across all stages of the data pipeline, including ingestion, staging, transformation, curation, and reporting.
  • Develop and maintain data quality rules to ensure data accuracy, completeness, consistency, timeliness, and validity.
  • Perform ETL and data pipeline validation using SQL and data testing techniques.
  • Identify, investigate, and resolve data quality issues by working closely with Data Engineering and Business teams.
  • Validate datasets within cloud-based data warehouse environments and ensure data integrity across enterprise systems.
  • Support automated data quality monitoring and reporting initiatives.
  • Document test results, defects, and validation procedures while ensuring adherence to QA best practices.

Requirements

  • 5+ years of experience in Data Quality Assurance, Data Testing, or ETL Testing.

  • Strong hands-on experience with SQL for data validation and reconciliation.

  • Experience testing ETL processes, data pipelines, and data warehouse solutions.

  • Experience working with Snowflake and AWS cloud environments.

  • Solid understanding of data quality dimensions, including:

  • Accuracy

  • Completeness

  • Consistency

  • Timeliness

  • Validity

Experience creating test plans, test cases, validation rules, and QA documentation.

Strong analytical and troubleshooting skills with attention to detail.

Excellent communication and collaboration skills.

Preferred Skills

  • Experience with data quality frameworks and monitoring tools.
  • Knowledge of data governance and data profiling.
  • Experience with Python, PySpark, or scripting for data validation.
  • Exposure to BI reporting tools such as Tableau or Power BI.
  • Familiarity with Agile/Scrum methodologies.

Required Technologies

  • SQL
  • Snowflake
  • AWS
  • ETL/Data Pipeline Validation
  • Data Warehouse Testing
  • Data Quality Testing

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