Big Data ETL Testing Engineer

Job Overview
Under broad guidance executes and verifies software applications tests.

Essential Functions
Understands and reviews requirements creates test plans and/or contributes in test estimations manual and automation planning/strategies.
Responsible for test case planning authoring and execution of compliance products for client implementation projects.
Performs test iterations defect tracking and reports test results; troubleshoots and coordinates with team focusing on defect resolution.
Collaborates with Developers Tech Leads/Managers BAs/Consultants and other project stakeholders throughout the SDLC.
Coordinates with BAs and development teams in troubleshooting and resolving road blocks and issues.
Regularly documents tracks and escalates issues and feedback as appropriate.
Experience in running manual and automated test scripts and identifying scope for areas for automation.
Proactively seeks necessary managerial support to discuss/flag risks and mitigation plans
Typically requires 2 years of prior relevant experience

Qualifications
Bachelors Degree Computer Science a related field or equivalent experience
Req
KNOWLEDGE AND EXPERIENCE
4 to 6 years relevant work experience in software testing primarily on Database /ETL and exposure towards Big Data Testing
Hands on experience in Testing Big Data Application on: Azure Cloudera
Understanding of more query languages: Pig HiveQL etc.
Excellent skills in writing SQL queries and good knowledge on database Oracle/ Netezza/SQL
Handson on any one scripting languages: Java/Scala/Python etc.
Good to have experience in Unix shell scripting
Experience in Agile development knowledge on using Jira
Good analytical skills and communications skills.
Prior Health Care industry experience is a plus.
Flexible to work / Adopt quickly with different technologies and tools

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

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