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Corp-Corp
W2-Permanent
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Contract to Hire
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 20th Dec 2023
• 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
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