热门公司

招聘

职位Accenture

Data Engineer

Accenture

Data Engineer

Accenture

Manila

·

On-site

·

Full-time

·

2d ago

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Grafana Engineer The Grafana Engineer focuses on implementing and managing the Grafana platform for monitoring, visualization, and observability. This role supports real-time monitoring, alerting, and visualization of infrastructure, applications, and business metrics by designing, developing, and maintaining Grafana dashboards and integrations across cloud and hybrid environments. The engineer collaborates with DevOps, SRE, and data teams to ensure observability is actionable, scalable, and aligned with business goals. Job Responsibilities: Deploy, configure, and maintain the Grafana Observability Stack, ensuring scalability and reliability. Design and implement automation solutions using playbooks and roles. Develop and maintain Grafana dashboards and integrations across cloud and hybrid environments. Monitor Grafana tools' health and performance, responding to incidents and disruptions. Implement security best practices for managed services within the observability stack. Refine monitoring, alerting, and observability strategies. Provide technical support and guidance to teams. Manage infrastructure using tools like Terraform and CloudFormation. Maintain CI/CD pipelines using Jenkins or GitLab CI/CD. Diagnose and resolve Grafana-related issues. Collaborate effectively with teams. Document Grafana configurations and procedures. Connect Grafana to Prometheus, Loki, Tempo, Elasticsearch, InfluxDB, and other sources. Optimize data queries for performance and accuracy. Configure alert rules and notification channels (Slack, Pager Duty, Opsgenie). Preferred Skills & Qualifications: Strong experience with Grafana for monitoring and visualization. Proficiency with Prometheus, Loki (logs), and Tempo (traces). Solid understanding of infrastructure systems and performance optimization. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Experience with Docker and Kubernetes. Proficiency with Terraform or CloudFormation. Familiarity with CI/CD tools like Jenkins or GitLab CI/CD. Basic knowledge of scripting languages like Bash, Python, or Go. Strong analytical and problem-solving skills. Excellent communication skills. Ability to work effectively within a team and proactively address issues. Attention to detail and commitment to high-quality standards. Passion for continuous learning and improvement. Minimum Requirements: 3 years of experience in observability, DevOps, or infrastructure engineering. Hands-on experience with Grafana dashboarding and alerting. Proficiency in PromQL, LogQL, and time-series data modeling. Experience with Grafana plugins, custom panels, and API integrations. Familiarity with observability tools: Prometheus, Loki, Tempo, Mimir. Knowledge of cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker). Scripting experience (Python, Bash, or Go) for automation and tooling. Experience with Infrastructure as Code (Terraform, Helm). Minimum 3 year(s) of experience is required

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于Accenture

Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

员工数

Dublin

总部位置

$139B

企业估值

评价

3.6

9条评价

工作生活平衡

2.8

薪酬

3.5

企业文化

3.2

职业发展

3.8

管理层

3.0

65%

推荐给朋友

优点

Good career growth and learning opportunities

Great culture and work environment

Challenging and interesting work

缺点

High levels of politics

Long hours and stress

Slow moving processes

薪资范围

20个数据点

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0份报告

$63,830

年薪总额

基本工资

$25,532

股票

$31,915

奖金

$6,383

$44,681

$82,979

面试经验

6次面试

难度

2.8

/ 5

时长

14-28周

录用率

17%

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

Recruiter Screen

3

Cognitive Assessment

4

Technical Interview

5

Behavioral Assessment

6

Final Interview

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Culture Fit