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UG :- - Not Required
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No of position :- ( 1 )
Post :- 27th Dec 2023
As a Sr. Data Engineer in Data Platform and Engineering Services, you will have the opportunity to build high performance data pipelines to load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to a number of business users who help different customers provide answers to their business problems through data. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems.
All About You
• 7 to 9 years of experience in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment
• Experience of building data pipelines through Spark with Java/Scala on Hadoop or Object storage
• Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge
• Experience of working on Nifi will be an added advantage
• Experience of working with APIs will be an added advantage
Experience and working in Unix environment is added advantage
• Experience of working in Agile teams
• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
• Strong communication skills - both verbal and written – and strong relationship, collaboration skills and organizational skills
• Ability to multi-task across multiple projects, interface with external / internal resources and provide technical leadership to junior team members
• 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
• Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement
• Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
Role
• Develop high quality, secure and scalable data pipelines using spark, Java/Scala on object storage and Hadoop
• Follow MasterCard Quality Assurance and Quality Control processes
• Leverage new technologies and approaches to innovating with increasingly large data sets
• Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems
• Perform assigned tasks and production incident independently
• 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