Aiml Data Eng

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a

culture of inclusion

for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

Job Title

AIML Data Eng - 1

Senior Data Engineer

Mastercard is a global technology company. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making payment and data transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

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.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

- Abide by Mastercard’s security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.