Position: Senior Data Analytics Operations Engineer
Company: KaaIoT
Experience required: 3y
English level: intermediate

**About the project:**

Global search leader is looking for talented engineers to join the data analytics operationalization team. Your tasks will range from establishing, testing, and securing the infrastructure (compute, deployment automation, monitoring) both on premise and on cloud, to building, troubleshooting, and optimizing the data processing workflows. You will work with global leading companies in a variety of industries and support them in extracting value from their data using cutting edge technologies.

**Requirements:**

Working knowledge of data analytics systems, especially ETL/ELT solutions
Ability to analyze and build ETL/ELT workflows
Knowledge of Linux OS and containerized infrastructure: monitoring, availability, consistency, security, etc.
CLI, Linux scripting (shell, Python), administration skills (3+ yrs)
Understanding of Java/JVM concepts, ability to read code
Strong troubleshooting and debugging skills, passion for problem solving and investigation
Ability to communicate technical concepts clearly and effectively
Willingness to learn new technologies
Good written and verbal communication skills in English

**Would be a plus:**

Java programming skills
Experience with Kubernetes
SQL / NoSQL database knowledge
Working knowledge of Hadoop components
Experience with cloud computing (AWS, GCP, Azure, etc.)
Familiarity with various security technologies (Kerberos, LDAP, OAuth 2.0, SAML, x.509, TLS, etc.)
Prior data analytics operationalization experience is a plus