DevOps Lead

Platform Core Services SRESeeking data/analytics Site Reliability Engineer to oversee platform availability, stability, monitoring, performance, dashboard development, data migrations, data ingestion and ETL processes. Focus Area/CompetencyOperations Application technology Required SkillsAPPLICATION OPERATIONS AND MONITORING LOGGING TOOLS DEVOPS TECHNOLOGIES CAPACITY PLANNING DATA INTEGRATION DATA WAREHOUSE ETL PROCESSES BIG DATA TECHNOLOGIES CLOUD COMPUTING BUSINESS INTELLIGENCE CONTAINERIZATION DATABASE ADMINISTRATION APPLICATIONS INFRASTRUCTURE Preferred SkillsELK STACK MICROSOFT WINDOWS AZURE STORAGE BLO IDENTITY MANAGEMENT JUPYTER GIT DOCKER JENKINS KUBERNETES TABLEAU PYTHON APACHE SPARK AWS AZURE KAFKA R STUDIO SQL RELATIONAL DB (ORACLE, DB2, POSTGRES, MYSQL, MS SQL, HANA ETC) MICROSERVICES Microsoft PowerBI Role DescriptionSeeking a Site Reliability Engineer or System Administrator with DevOps aspirations to join a team supporting a big data analytics platform with a focus on platform availability, stability, monitoring, performance, dashboard development, data migrations, data ingestion and ETL processes. Education and Experience Required:Expert Linux administration skills Intermediate to expert Windows administration skills Intermediate to expert experienceBig data analytics platforms and systems Distributed processing frameworks Microservice architectures and REST APIs ETL tools and streaming services Cloud computing technology and concepts Business intelligence and data visualization tools Container operations and orchestration Relational databases CI/CD tools, Infrastructure as Code and configuration management Scripting languages and automation tools DevOps culture, principles and practicesSystematic problem-solving approach Strong written and verbal communication skills Ability to work independently, as a member of a distributed team, and with cross-functional groups Undergraduate degree or equivalent experience/certification Preferred:Ability to debug and optimize code Experience with several of the followingDremio, Spark, Python, R, SnapLogic, Kafka, Azure, AWS, Tableau, PowerBI, Qlik, Docker, Kubernetes, Jenkins, Sonarqube, Git, Jupyter, Relational Databases, WASBFamiliarity with ELK / Elastic Stack or similar monitoring tools Experience with Relational Databases, SQL and ORM technologies Experience with developing the complete application stack inclusive of software engineering and systems engineering responsibilities (e.g.