Company Overview
Opportunity with leading product based company
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Opportunity with leading product based company
• Competency to Lead QA Strategy on Big Data, Data Quality , Data Validation, Data Science Applications.
• Responsible for QA of new or existing Big Data Engineering based applications involving Data Preparation, Data Curation process and ETL, ELT validation
• Have performed QA on SAAS Applications, API Testing , UI and backend Data alongwith automation.
• Experience on QA on AWS Services preferably in big data technologies such as AWS EMR, AWS Datapipeline , Lambda , Kinesis
• Evaluate and incorporate new technologies into new and existing frameworks and solutions as applicable
• Define test strategies and planning for new data ETL solutions with a focus on performance, reliability, durability, data quality and SLA expectations.
• Interested to Lead Scrum and take responsibility of managing releases post UAT .
• Provides technical or functional guidance to project or work teams as needed within a specific discipline Be agile and embrace change
• Works in an agile team and collaborates on an ongoing basis with other team members Analyzes designs develops tests debugs implements maintains and or enhances existing or new systems that are reliable and efficient
• Candidate should have a passion for learning building new products and strong teamwork
• Candidate should have good Verbal Written communication with Onsite and Offshore teams * Proficiency Legends
Good to have
• AWS IAM , Security
• Realtime & Streaming Frameworks – AWS Kinesis , Kafka , Lambda
• Python , Shell scripting knowledge
• Data science concepts understanding
• Exposure to DevOps & CI/CD
• API/UI automation.
Qualifications
• UG - B.Tech/B.E. OR PG – M.S. / M.Tech/MCA from REC or any other reputed institute
• 3+ years of experience on Big Data Testing
• 3+ years’ experience in QA automation, Performance Testing
• 2+ years of experience on AWS Services – EC2 , Elastic Beanstalk , S3 , EMR