Job Description

GEICO is seeking a highly motivated DevOps Engineer to join our team. The successful candidate will demonstrate their ability to think strategically and be innovative while working in an agile and collaborative team-oriented environment. The candidate must be comfortable working with analysts, developers, DevOps, and architects across multiple teams to collaboratively design creative solutions to complex problems. The candidate will support in proactively ensuring the highest levels of systems and infrastructure availability, stability, scalability, and performance. Must have intellectual curiosity and a desire to learn new skills and technologies along with an excellent work ethic and great communication skills.

Responsibilities:

Work closely with Data Engineering Architecture, Ingestion & Consumption ETL developers, Snowflake Admins & Data Architects, DSI DevOps, DevOps Core and DSI Infrastructure
Lead efforts to design and implement the end-to-end CICD both non-container and container platforms.
Setting up build agents with appropriate binaries, configurations, and proxy settings.
Design & Architect Enterprise Bus Intelligence Platform & integrate w/ Enterprise Big Data Platform.
Driving development & adoption of Self-Service capabilities & Automation
Work with customers and other stakeholders to develop correlation visualization, reports and dashboards.
On-boarding new ETL tools/applications/process to Azure platform
Developing ADO tasks, variable groups, pipelines that can be used across similar solution types.
Maintaining repo with appropriate tagging for dbt libraries used by data teams.
Knowledge of scripting (shell script, python, etc.) to automate the daily routine tasks.
Monitor ADO pipelines for failures and diagnose/resolve problems.
Assisting with operationalizing experimental Snowflake queries with dbt
Creating & maintaining documentation, on-boarding procedures & conduct training sessions on DevOps process
Work with DevOps core teams to integrate DataOps CI/CD with standard GEICO tooling
Collaborate with internal teams to ensure data relationships are correctly identified and the appropriate owners are identified
Working knowledge on AKS or Kubernetes, should be able to maintain and troubleshoot the issues in kubernetes.
Experience in design, install and configure Hadoop cluster and other components in Hadoop ecosystem.

Basic Qualifications:  

Bachelor's degree or equivalent experience in solutions engineering and design experience
3+ years of experience deploying and configuring software configuration management, build, deployment process, CI/CD, and other application life cycle management (ALM) tools on Microsoft Azure/Windows & Linux-based systems.
Experience in DevOps, Azure, ADO, CM, Linux, UNIX and/or Windows with a strong bias towards automated deployment and operations
Knowledge of AKS and other container services.
Experience setting up automation related to:

Job Schedules (Azure Databricks Jobs/Azure Data Factory)
Databricks Notebook
Snowflake (External Stage, Tables and Views, Tasks and Streams)
DBT & dbtCloud

Experience with designing, building, implementing, and supporting monitoring tool solutions, telemetry, alerts & monitoring – AppInsights, Dynatrace, Splunk, MEM, Azure Monitor
Experience in Debugging & Troubleshooting build and deployment issues
Strong written, presentation and oral communication capabilities, ability to influence and successfully interface with leadership
Knowledge of monitoring & management tools, performance modeling tools, capacity analysis tools, and other advanced modeling and trending tools
Ability to manage multiple demands with a sense of urgency and lead change successfully
Work with development and different teams to improve performance & configuration.
Implement monitoring & alerting for critical components of platform.
Migrate code from dev to production.
Apply hot fixes, maintenance packages, & perform upgrades.
Knowledge on design, install and configure Hadoop cluster and other components in Hadoop ecosystem.
Knowledge on Azure ecosystem like Azure data lake, Azure Dataflow, etc.
Should be able to establish end to end continuous integration and continuous deployment and guide the team on best practices and help them release product/application fast.
Provide 24x7 support as required for releases & maintenance.

Preferred Qualifications:  

Knowledge on Azure Data Ecosystem (Azure Data lake, Azure Data Factory, Azure Data Bricks, Azure Storage)
Knowledge on Azure Kubernetes Services
Knowledge on Snowflake platform
Knowledge of Hadoop Ecosystem & Kafka
Knowledge of Power BI, MicroStrategy & Reporting best practices
Exposure to Big Data tools & technologies

Benefits:

As a DevOps Engineer, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:

·         Premier Medical, Dental and Vision Insurance with no waiting period**

·         Paid Vacation, Sick and Parental Leave

·         401(k) Plan with Profit Sharing

·         Tuition Reimbursement

·         Paid Training and Licensures

*Benefits may be different by location.  Benefit eligibility requirements vary and may include length of service.

**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.