Data Operations Engineer 2

Your Role :

• Automate, deploy and operate data pipelines
• Automate build, deployment, and quality processes
• Implement facilities to monitor all aspects of the data pipeline
• Manage data in Spark and other environments using scripts and automation
• Communicate and / or address build, deployment and operational issues as they come up
• Implement, administer, and support the Qliksense systems
• Installations, Upgrades, Patches, Backups of the Data Operations systems
• Maintain documentation of Data Operations systems and processes
• Support the data usage needs of downstream analytics teams
• Ensure availability meets or exceed agreed-upon SLAs
• Participate in a 24x7 on-call rotation for critical issues

Skills :

• BS in Computer Science or equivalent work experience.
• Experience managing data in relational databases and developing ETL pipelines
• Experience using Spark SQL or other Big Data tools
• Experience implementing and administering logging, telemetry and monitoring tools like ops view
• Experience using AWS or other cloud services
• Experience scripting for automation and config management (Chef, Puppet, Ansible)
• Experience with orchestration software such as Airflow or Luigi
• Fluent in at least one scripting or systems programming language (Python, Ruby, Bash, Go, Rust, Crystal, etc)
• Deep Knowledge of the Linux and Windows operating systems (OS, networking, process level)
• Strong problem-solving skills
• Interest in DevOps style engineering teams - we operate what we build!
• Strong verbal and written communication skills
• Strong commitment to quality, architecture, and documentation.
• Experience working with the Qlik Sense product in a large-scale enterprise environment a plus
• Experience with Tableau and Domo a plus.

Skills Required

Systems Programming, Tableau, Big Data, Data Operations, Devops, Sql, Aws