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트렌딩 기업

트렌딩 기업

채용

채용Accenture

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.

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총 지원 클릭 수

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모의 지원자 수

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Accenture 소개

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+

직원 수

Dublin

본사 위치

$139B

기업 가치

리뷰

3.6

9개 리뷰

워라밸

2.8

보상

3.5

문화

3.2

커리어

3.8

경영진

3.0

65%

친구에게 추천

장점

Good career growth and learning opportunities

Great culture and work environment

Challenging and interesting work

단점

High levels of politics

Long hours and stress

Slow moving processes

연봉 정보

20개 데이터

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0개 리포트

$63,830

총 연봉

기본급

$25,532

주식

$31,915

보너스

$6,383

$44,681

$82,979

면접 경험

6개 면접

난이도

2.8

/ 5

소요 기간

14-28주

합격률

17%

경험

긍정 0%

보통 67%

부정 33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Cognitive Assessment

4

Technical Interview

5

Behavioral Assessment

6

Final Interview

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Culture Fit