What are the responsibilities and job description for the Quality Assurance Lead (Big Data / ETL Testing) position at SansuTek Inc.?
Key Responsibilities
- Lead quality assurance activities for enterprise data and analytics initiatives.
- Design, develop, and execute comprehensive testing strategies, test plans, and test cases.
- Perform ETL testing, source-to-target validation, and data reconciliation.
- Validate large datasets within Hadoop and data warehouse environments.
- Write and execute complex SQL and HQL queries for data verification and analysis.
- Develop and maintain Python scripts to support testing, automation, and data validation activities.
- Review business requirements, technical specifications, and design documents to identify testing requirements.
- Ensure complete testing coverage across data ingestion, transformation, reporting, and analytics processes.
- Identify, document, and track defects through resolution.
- Collaborate with developers, business analysts, and project teams throughout the SDLC.
- Participate in risk assessments and provide recommendations to improve software quality and testing efficiency.
- Mentor junior QA team members and promote testing best practices.
- Support both ongoing projects and future enterprise initiatives.
Required Qualifications
- 8 years of Quality Assurance and Software Testing experience.
- Minimum 6 years of hands-on experience working in Hadoop environments.
- Strong experience with ETL Testing and Data Warehouse Testing.
- Hands-on Python development experience.
- Advanced SQL skills with experience performing complex data validation.
- Strong HQL (Hive Query Language) experience.
- Experience validating large-scale data processing and transformation workflows.
- Strong understanding of SDLC and STLC methodologies.
- Ability to work independently with minimal supervision.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Banking, Financial Services, Risk Management, or highly regulated industry experience.
- Experience with test automation frameworks.
- Experience working within onshore/offshore delivery models.
- Knowledge of Big Data technologies such as Hive, HDFS, Spark, and related Hadoop ecosystem tools.
- QA, Software Testing, or related certifications.
Technical Skills
Required
- Hadoop
- Hive / HQL
- Python
- ETL Testing
- SQL
- Data Warehouse Testing
- Data Validation
- Defect Management
- SDLC / STLC
Preferred
- Spark
- Test Automation
- Big Data Testing
- Data Reconciliation
- Agile Methodologies
Education
Bachelor s Degree in Computer Science, Information Technology, Engineering, or a related field preferred. Equivalent professional experience will also be considered.