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Roles & Responsibilities
- Design and implement comprehensive test strategies for big data applications and systems.
- Develop and execute test plans, test cases, and test scripts to ensure functionality, performance, and reliability of big data solutions.
- Collaborate with development teams to understand data pipelines and architecture for effective testing.
- Conduct data validation and data accuracy testing to ensure quality standards are met.
- Analyze large datasets to identify trends, anomalies, and issues using big data tools and technologies.
- Perform regression testing to verify that new code changes do not adversely affect existing functionality.
- Identify, record, and track defects using defect management tools, ensuring timely resolution.
Role: Data / Big Data Testing Engineer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Quality Assurance and Testing
Education
UG: B.Tech/B.E. in Any Specialization
PG: MCA in Any Specialization, M.Tech in Any Specialization
Key Skills
Skills highlighted with are preferred keyskills
Impetus designs and develops state-of-the-art products, spanning all leading-edge development platforms, for a host of fast-paced and innovative software companies. We offer product-oriented services, across the entire product development lifecycle, to our clients.
We keep very successful company-all our clients are leaders in their spaces. They range from some of the finest startups in the Silicon Valley, such as Scalix, KnowNow, Navic, Sennari, to well established players including NeuStar, 3M, LiveCapital and PeopleSoft. Leading blue-chip VCs like Sequoia, Kleiner Perkins, Redrock, and Venrock recommend us as the preferred offshore service provider for companies they are incubating.
Our sister companies, Servigistics, ClearTrail and Intellicus, and the intellectual property we create, have been phenomenally successful, setting innovative trends and establishing new markets.
Job ID: 113267347
Skills:
Sql, Apache Nifi, Agile Scrum, Big Data Technologies, Impala, Shell, Hive, Python, Bash, Spark, Data Lake methodologies, Data Warehouse methodologies, ETL processes