Design, develop, and execute comprehensive test plans for big data solutions using Hadoop Distributed File System (HDFS), Hive, and SQL.
Collaborate with cross-functional teams to identify requirements and ensure seamless integration of ETL processes.
Develop automated testing scripts using Python or other programming languages to improve efficiency and reduce manual errors.
Analyze complex data sets to identify trends, patterns, and anomalies, providing insights that inform business decisions.
Participate in Agile development methodologies such as Scrum to deliver high-quality products on time.
Desired Candidate Profile
4-8 years of experience in Big Data Testing
Strong understanding of Healthcare Domain knowledge is an added advantage.
Proficiency in writing complex queries using SQL for query optimization techniques like joins, subqueries, aggregations etc.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Data / Big Data Testing EngineerEmployement Type: Full time