Databricks Engineer

The candidate will be part of a team of Data Analytic Engineers maintaining various clients' Databricks instances with a heavy emphasis on data on-boarding, migration from legacy systems, content development, configuration, troubleshooting, reporting, and visualizations. All candidates must possess prior Databricks engineering and administration experience, meet the necessary certification prerequisites, and work well in a team environment. Candidates with experience supporting federal customers is a plus.

As a TZT consultant, the candidate will receive access to the full knowledge base which is driven by the True Zero community as well as the technical backing of the entire Professional Services team. True Zero encourages collaboration and growth through information sharing and knowledge workshops. The candidate will also have access to our internal Slack channel to stay connected with the team as well as the necessary tools to train, demo, test and grow their professional skills.

Qualifications - Required

• Must have Databricks Professional Certification
• Experience maintaining and administering enterprise Databricks implementations.
• 3+ years of Databricks experience in active production environment
• Experience with common operating systems [e.g. Windows, Linux, CentOS, Ubuntu, and/or Red Hat Enterprise Linux (RHEL)]
• Experience with data ingest and data processing techniques
• Experience with multi-node clustering architecture, development, implementation, and health monitoring of the system
• Knowledge of lifecycle management implementations
• Experience building and optimizing big data data pipelines, architectures and data sets.
• Knowledge of Model and Design of DB schemas for read and write performance.
• Experience working in DevOps and Agile organizations
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Excellent written and oral skills, ability to work closely with multiple customers, manage expectations, and track engagement scope.
• U.S. Citizenship is required as this is in support of a Federal Customer.
• Top Secret clearance is required.

Qualifications - Preferred

• Understanding of Syslog daemon configuration principles, ideally in Syslog-NG and RSyslog configurations.
• Cloud experience (AWS, Azure, etc.)
• Splunk Enterprise Experience
• Development and API experience (Python, Perl, XML)
• SaltStack, Ansible, and other enterprise automation tool experience.
• Hardware experience and storage experience (SAN, NAS, etc.)
• Git experience (GitHub & GitLab)
• Cribl experience a plus.