Hi,
ONLY LOCAL TO NJ/NY
F2F Interview
Job Title:
ETL QA/Tester (Data Pipeline Testing)
Location: Princeton, NJ (Local
Candidates Only – Onsite/Hybrid)
Duration:
12+ Months
⚠️ Critical Requirement:
- NJ Local candidates ONLY
- Strong experience in ETL / Data Pipeline QA Testing
Job Summary:
We are seeking an experienced ETL QA Engineer with strong expertise in data pipeline testing, data warehousing, and SQL. The ideal candidate will be responsible for validating end-to-end ETL processes, ensuring data accuracy, quality, and integrity across multiple layers of data pipelines.
Key Responsibilities:
- Perform end-to-end ETL / Data Pipeline QA testing
- Validate data flow across multiple layers (Source → Staging → Target)
- Analyze requirements and design test scenarios and test cases
- Ensure accuracy of data transformations and business rules
- Work with data warehouse structures and data lake environments
- Perform data validation using SQL queries
- Identify, log, and track defects and data quality issues
- Collaborate with data engineers, developers, and business teams
- Support testing activities in Agile environments
- Ensure data quality, consistency, and usability for business needs
Required Skills & Experience:
- 8–10 years of overall IT experience
- Strong hands-on experience in:
- ETL Testing / Data Pipeline QA
- Data Warehousing concepts
- Strong expertise in:
- SQL / PL-SQL (advanced queries)
- Data validation and reconciliation
- Experience working with:
- Data lakes and intermediate data structures
- Ability to:
- Analyze requirements and design test scenarios
- Validate data across multiple pipeline stages
- Experience working in Agile environments
- Strong communication and documentation skills
Preferred Qualifications:
- Experience with Databricks / Delta Lake
- Strong understanding of data quality frameworks
- Analytical mindset with attention to detail
Technical Skills:
- ETL Testing / Data Pipeline QA
- SQL / PL-SQL
- Data Quality & Validation
- Data Warehousing / Data Lakes
- Databricks (Nice to have)
Key Deliverables:
- High-quality and validated data pipelines
- Accurate and reliable data transformations
- Reduced defects through comprehensive testing and validation
- Improved data quality and consistency across systems
|
Arjun BHATT |
E: arjun.b@noviainfotech.com
M: (972) 961 2004 Linkedin: linkedin.com/in/arjun-bhatt-3a86001b5 |
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