Quality Assurance Lead (Big Data / ETL Testing)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, SansuTek Inc., is seeking the following. Apply via Dice today!

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.
  
  

Required

Technical Skills

• 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.