Sr Devops Engineer (Data Science)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Sr Devops Engineer (Data Science) - 77901

Technology and Engineering - USA Chicago, Illinois

ABOUT THIS JOB 

At Nielsen, we bring together big data and technology to provide our media clients with insights into consumers’ viewing behavior. We are looking for Devops Engineer to join our team in Chicago and build a robust, reliable and available cloud based data science platform.

RESPONSIBILITIES 

• Provide technical support to data scientists using the platform (both internal and external)
• Diagnose technical faults on a platform using Kubernetes, Airflow, Spark, Jupyterhub, Gluster, Azure, AWS
• Write software as necessary to ensure system reliability
• Read and debug data science models written using Python, Spark, R, etc
• Manage the lifecycle of trouble tickets assigned to the platform
• Escalate issues to the platform team, other business units, and vendors as necessary
• Must be able to juggle multiple priorities and handle work requests with a sense of urgency. Must have the technical skills to understand a cloud-based containerized data science platform

A LITTLE BIT ABOUT YOU 

You are a DevOps and Cloud based systems enthusiast who likes to work on cutting-edge technologies in an environment that gives you the freedom to explore, play, and learn, then Nielsen is the right place for you. You love solving problems for your clients and bringing creative new ideas to their business. Curiosity, communication, and critical thinking drive your work.You manage relationships and expectations as well as you manage projects. You thrive in a fast-paced environment and work well under pressure——you focus, dig in, and get it done.

QUALIFICATIONS 

• BS in Computer Science or a related field or equivalent experience
• Passionate about cloud technology and statistical modeling
• Working Knowledge of Python
• Experience with Unix/Linux based platforms
• Experience with some cloud-based platform (AWS, Azure, GCE, OpenStack, DO, Linode, etc)

NICE TO HAVE

• Experience with Terraform, Cloudformation, Ansible, Jenkins or similar technologies like Puppet, Chef, etc
• Knowledge of Ruby, Scala, Javascript, R, C++
• Experience with Kubernetes or similar technologies (Mesos, ECS, Docker Swarm, etc)
• Experience building or maintaining statistical models