Lead Software Engineer

5 - 10 years

13 - 18 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

Overview

  • ML Engineering team leads AI/ML deployments across Mastercard platforms. The team is responsible for planning the implementation of solutions, choosing the right technologies, and evaluating the evolution of the architecture as the needs change.
  • For this team, MasterCard is seeking a Senior Data Engineer who is passionate about implementation of AI/ML assets across platform (on premise, on cloud, hybrid). The person would be working closely with Program Team as well as Data Science team.

Technical & Other Skills

  • 5+ years of working experience in scalable data pipeline using sparkSQL, Kafka, Nifi, Big data technologies.
  • Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge
  • Developing scalable streaming solutions based on Hadoop/ Big Data stack such as HDFS, Hive/ Impala, MapReduce, Spark and Kafka.
  • 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/Python on Hadoop or Object storage (S3/CEPH)
  • 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

Experiences

  • Nice to have development experience in Python based AI/ML workloads on Hadoop.
  • Experience of working on Nifi, APIs and Unix Environment will be an added advantage
  • Experience of working in Agile teams
  • 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
  • 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
  • Perform assigned tasks and production incident independently
  • Proven track record of delivering and willingness to roll up sleeves to get the job done.

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