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Manager Clickhouse Jobs in Arizona (NOW HIRING)

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Manager Clickhouse information

What is the difference between Manager Clickhouse vs Data Engineer?

AspectManager ClickhouseData Engineer
Primary FocusOversees Clickhouse database management, team coordination, and strategyDesigns, develops, and maintains data pipelines and infrastructure
Required SkillsDatabase administration, team leadership, project managementETL processes, SQL, programming, data modeling
CertificationsDatabase management, cloud certifications, project managementData engineering, cloud, and programming certifications
Work EnvironmentManagement, strategic planning, team collaborationTechnical development, coding, data architecture

The Manager Clickhouse primarily focuses on overseeing Clickhouse database operations and leading teams, while a Data Engineer concentrates on building and maintaining data pipelines and infrastructure. Both roles require technical knowledge, but the Manager Clickhouse emphasizes management skills, whereas the Data Engineer emphasizes technical development and data architecture.

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What cities in Arizona are hiring for Manager Clickhouse jobs? Cities in Arizona with the most Manager Clickhouse job openings:
Manager Clickhouse jobs near you

Site-Reliability Engineer (W2 Role) - Need Locals to AZ for In-person Interview

Saransh Inc

Scottsdale, AZ • On-site

$57.50 - $76.25/hr

Contractor

Re-posted 16 days ago

Job description

Job title: Site-Reliability Engineer
Location: Scottsdale, AZ (Onsite from Day 1)
Job Type: Contract (W2)
 
NOTE: *Local candidates only as the client interview is In-person*
*In-Person Interview can also either be at the client location in Richardson, TX*
 
Interview process:
- 1 level of internal evaluation
- 3 Levels of Client Interviews (2 Telephonic and 1 In person). Last round in person interview can either be in Richardson, Texas or Scottsdale, Arizona.

Skill Matrix:
 
Name
Required
Python
Yes
Helm
Yes
Google Cloud Platform
Yes
Kubernetes
Yes
 
Experience required: 7+ years
 
Mandatory skills:
· Google Cloud Platform (GCP) Containerization, Kubernetes
· Infrastructure as Code (Terraform), CI/CD (GitHub Actions), and Helm
· Automation and scripting using Python, Ansible, and Node.js
· Monitoring and observability with Prometheus and Grafana
· Linux systems and troubleshooting
 
Required Skills:
· Service reliability/operation experience running large-scale, high-performance applications in a hybrid environment (on-prem and cloud).
· Experience in writing automation scripts and building dashboards for Application Performance management to manage Transaction journeys.
· Experience working with Programming languages such as Go, Python, Java, Rust etc.
· Working knowledge on with one or more databases- Oracle, SQL Server, Redis, Clickhouse, postgres, Mongo or any time-series databases
· Experience in transitioning platforms to the cloud and Containerization – GCPand Rancher
· Experience maintaining containerized app in GKE/RKE/AKE environments.
· Experience Implementing Cloud observability using OTEL to enable real-time monitoring, distributed tracing and incident resolution.
· Experience working with specific GraphQL Framework (Apollo, Prisma, Hasura etc...).
· Experience using knowledge of networking protocols such as TCP/IP, HTTP, DNS, Load balancing and service mesh to troubleshoot issues in high pressure situations.
 
Preferred Skills:
· Proven experience managing Application availability, building creative solutions to manage repetitive activities, improving gating and detect for applications at every touchpoint for a 24 x 7 High availability platform exposed to critical clients and customers.
· Working knowledge of Monitoring tools - Splunk, App-dynamics, grafana/Prometheus and Dynatrace.
· Experience with tools like Rally, Confluence and other CI/CD extenders.
· Hands-on experience with implementing in-memory caching solutions. Experience on Redis DB is a plus.
· Excellent debugging skills across variety of integrated technical platforms on API gateway.
· Hands-on with GCS, Cloud SQL, Spanner and Firestore.
· Extensive experience in Enterprise level Infrastructure and Operations.
· Experience in High Availability and distributed systems, Linux and Windows administration, troubleshooting and support.
· Monitor and troubleshoot HashiCorp Vault environments, ensuring minimal downtime and rapid recovery from incidents.
· Working knowledge on Vertex AI, Gen AI and Bigquery