Senior Data Engineer
Motion Recruitment Partners
Senior Data Engineer
Join our team in Chicago at this leading fraud and risk protection partner. Specializing in fraud prevention, chargebacks, and account protection solutions. We empower clients to enhance revenue and mitigate loss. As a Senior Data Engineer with us you will contribute to cutting-edge solutions in Payment Fraud and Account Protection using technology such as Hadoop, Spark, Kafka, Docker, Kubernetes and other state of the art technologies. This position is Full-time offering unparalleled opportunities for growth and impact in the digital commerce landscape.
We are committed to pioneering digital solutions that safeguard global commerce. As a Senior Data Engineer, your job will play a pivotal role in designing, building and maintain complex data processing systems. You will collaborate closely with our Product and Decision Science teams, leveraging the latest technologies to develop robust data pipelines and streaming solutions. This role is ideal for a creative problem-solver who thrives in dynamic environments and seeks to innovate in fraud prevention and data analytics. Join us and embark on a career where you can make a tangible impact while enjoying opportunities for continuous learning, professional growth, and a balanced work-life experience.
Required Skills & Experience Six years of experience in Hadoop FS and Kafka Bachelor’s Degree Five years of strong programming experience in Python/Java Desired Skills & Experience Three years of working with Docker and Kubernetes in building and deploying containers preferred Seven years of experience working with Jupyter and Notebooks preferred Experience with MapR (hpe-ezmeral-data-fabric) Experience with Scala, Functional languages and AWS Kinesis-Preferred What You Will Be Doing
Tech Breakdown 30% Hadoop and Spark 40% Kafka 30% Docker and Kubernetes
Daily Responsibilities 40% Designing and building data processing systems 30% Developing and maintaining data pipelines 30% Collaborating with Product and Decision Science Teams
The Offer Bonus OR Commission eligible You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation Time Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-OU1
Join our team in Chicago at this leading fraud and risk protection partner. Specializing in fraud prevention, chargebacks, and account protection solutions. We empower clients to enhance revenue and mitigate loss. As a Senior Data Engineer with us you will contribute to cutting-edge solutions in Payment Fraud and Account Protection using technology such as Hadoop, Spark, Kafka, Docker, Kubernetes and other state of the art technologies. This position is Full-time offering unparalleled opportunities for growth and impact in the digital commerce landscape.
We are committed to pioneering digital solutions that safeguard global commerce. As a Senior Data Engineer, your job will play a pivotal role in designing, building and maintain complex data processing systems. You will collaborate closely with our Product and Decision Science teams, leveraging the latest technologies to develop robust data pipelines and streaming solutions. This role is ideal for a creative problem-solver who thrives in dynamic environments and seeks to innovate in fraud prevention and data analytics. Join us and embark on a career where you can make a tangible impact while enjoying opportunities for continuous learning, professional growth, and a balanced work-life experience.
Required Skills & Experience Six years of experience in Hadoop FS and Kafka Bachelor’s Degree Five years of strong programming experience in Python/Java Desired Skills & Experience Three years of working with Docker and Kubernetes in building and deploying containers preferred Seven years of experience working with Jupyter and Notebooks preferred Experience with MapR (hpe-ezmeral-data-fabric) Experience with Scala, Functional languages and AWS Kinesis-Preferred What You Will Be Doing
Tech Breakdown 30% Hadoop and Spark 40% Kafka 30% Docker and Kubernetes
Daily Responsibilities 40% Designing and building data processing systems 30% Developing and maintaining data pipelines 30% Collaborating with Product and Decision Science Teams
The Offer Bonus OR Commission eligible You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation Time Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-OU1
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