Title and Summary

Lead Test Engineer - ETL testing, Java/Python/Unix

Overview

Mastercard is the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of PricelessÆ. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

As a Test Lead Engineer in Data Platform & Engineering Services (DPES), you will have the opportunity to test high performance data pipelines which load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to number of business users who help different customer provide answer to business problems through data. You will play a vital role within a rapidly growing organisation, while working closely with experienced and driven engineers to solve challenging problems.


Role

ï Test data pipeline using automated test framework and perform data analysis
ï Follow MasterCard Quality Assurance and Quality Control processes
ï Leverage new technologies and approaches to innovating with increasingly large data sets
ï Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems
ï Perform assigned tasks and production incident independently
ï Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency


All About You

ï 10 to 12 years of testing experience in Data Warehouse related projects in product or service based organisation
ï Expertise in ETL testing in end-to-end DW projects in Big Data environment
ï Experience of programming language like Java/ Python/ Unix scripting to build and enhance test automation framework
ï Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge
ï Experience of working on Nifi will be an added advantage
ï Experience of working in Agile teams
ï Strong analytical skills required for doing data analysis and defect management process
ï Strong communication skills - both verbal and written ñ and strong relationship, collaboration skills and organisational skills
ï Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results
ï Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement
ï Flexibility to work as a member of a matrix based diverse and geographically distributed project teams