Lead Data Operations Engineer

New York, NY, USA

Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION


Currently we are looking for a Lead Data Operations Engineer for our New York, NY office to make the team even stronger.

Our ideal candidate will possess skills that make them a subject matter expert around traditional Data Warehousing along with strong exposure to DevOps best practices. This role will entail architecture analysis, design, development, and other skills.

Responsibilities

  • Integrate solutions with other applications and platforms outside the framework;
  • Troubleshoot existing systems to identify defects or issues and support development and test teams in the delivery of solutions;
  • Perform script maintenance and updates due to changes in requirements or implementations;
  • Document and complete knowledge transfer to production support if required;
  • Assist in production support.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field, or equivalent work experience;
  • At least 4 years of professional experience;
  • Strong background in Linux/Unix Administration (RedHat and Debian families);
  • General network administration related knowledge and skills;
  • Experience with scripting language - Python, Bash scripting;
  • Strong organizational, analytical and problem solving skills;
  • Configuration management: Chef, Puppet, Ansible;
  • Continuous integration and automation tools like Jenkins, Rundeck;
  • Docker \ Kubernetes \ Openshift;
  • Experience with Traditional Data Warehouses;
  • Strong understanding of database concepts and Relational Data Structures;
  • Strong SQL.

Nice to have

  • Good knowledge of Teradata;
  • Good knowledge of Informatica;
  • Good knowledge of one of Hadoop distributions(Cloudera, Hortonworks);
  • Good knowledge of HDFS, YARN;
  • Good knowledge of Hadoop managing tools (Ambari, Cloudera Manager);
  • Basic Knowledge of HUE, Hive, Spark, Hadoop Security;
  • Good background in Kerberos;
  • Monitoring systems: Nagios, Zabbix, etc;
  • Virtualization technologies: VMware, KVM, Xen.