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职位Zendesk

Staff Data Platform Engineer

Zendesk

Staff Data Platform Engineer

Zendesk

Pune, India

·

On-site

·

Full-time

·

4w ago

必备技能

Python

Java

AWS

Docker

Kubernetes

Go

Terraform

Scala

Machine Learning

Job Description

Staff Data Platform Engineer

(DevOps-focused)

What we are looking for:

Our Enterprise Data & Analytics (EDA) is looking for an experienced Staff Data Platform Engineer to join our growing Platform engineering team. You’ll work in a collaborative Agile environment, driving innovations in data infrastructure that not only powers advanced analytics but also lays the foundation for AI and machine learning integration across Zendesk’s data platform.

About the team:

We are a newly formed Data Platform Team here in Pune dedicated to developing and maintaining Zendesk’s data platform that powers next‑generation reporting and analytics across the product portfolio. As a Staff Data Platform Engineer, you will work on designing and developing advanced data infrastructure that power the Zendesk Data Platform.

Data is at the heart of Zendesk’s business—this is a high-impact, high-ownership role with broad technical and organizational influence.

What you get to do every single day

  • Lead architecture and roadmap

  • Define and evolve the end-to-end data platform architecture across ingestion, transformation, storage and governance.

  • Establish standardized data contracts, schemas, documentation, and tooling that improve consistency and reduce time-to-data for analytics and product teams.

  • Lead build-vs-buy evaluations and pilot new technologies to improve reliability, speed, or cost.

  • Deliver platform capabilities at scale

  • Design and deliver secure, and highly-available data services and pipelines handling large-scale, mission-critical workloads.

  • Establish SLOs/SLIs for data pipelines, implement robust observability (metrics, tracing, alerting) and incident response.

  • Raise the engineering bar

  • Define standards for data modeling, testing (unit/integration/contract), CI/CD, Infrastructure as Code, and code quality; champion reproducibility and reliability.

  • Conduct deep root cause analyses; drive systemic fixes that improve resilience and developer experience.

What you bring to the role

Basic qualifications

  • 10+ years of industry experience with atleast 5+ years of proven experience as a DevOps Engineer

  • 4+ years of Hands-on experience with designing and building CICD pipelines using tools like, Github Actions , Jenkins. (We primarily use Github actions)

  • 3+ years leading complex, cross-team initiatives at Senior/Staff level.

  • Experience working with one or more public clouds, preferably AWS.

  • Experience with infrastructure automation tools like Terraform, CloudFormation, etc. (we primarily use Terraform)

  • A deep understanding of containers and experience with Kubernetes & Docker.

  • Intermediate experience with at least one of the programming languages: Python, Go, Java, Scala. (we primarily use Python)

  • Experience with developing monitoring and observability frameworks (preferably for data pipelines)

  • Proven experience designing, building, and deploying reusable AI or automation agents/tools that can be easily adopted and maintained by other engineers and teams

  • Familiarity with SQL

  • A demonstrated willingness to learn and adapt to new technologies and tools.

  • Strong communication skills, both written and verbal - you’ll be collaborating closely with people in multiple time zones.

  • Ability to work independently and in a team, with a proactive approach to improving processes and outcomes.

Preferred qualifications

  • 3+ years of experience building & maintaining scalable data infrastructure with strong focus on automation and reliability

  • Experience with ETL orchestrators such as Apache Airflow, Dagster, etc. (we primarily use Airflow)

  • Familiarity with dbt (Data build tool), used for building data pipelines

  • Familiarity with Data Governance and security compliance best practices

What does our stack look like

  • Infrastructure (GCP, AWS, Kubernetes, Docker, Terraform)

  • CICD (Github Actions)

  • Data Pipeline and Orchestration (Fivetran, Snowflake, dbt, Airflow)

  • Monitoring and Observability (Data Dog, Monte Carlo)

Please note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

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关于Zendesk

Zendesk

Zendesk

Public

Zendesk develops a customizable customer service platform for organizations.

5,001-10,000

员工数

San Francisco

总部位置

$13.2B

企业估值

评价

3.6

10条评价

工作生活平衡

3.8

薪酬

2.5

企业文化

4.0

职业发展

2.8

管理层

2.7

65%

推荐给朋友

优点

Flexible working hours

Good work environment and culture

Supportive team and colleagues

缺点

Compensation and pay issues

Poor management decisions and lack of direction

Lack of career advancement opportunities

薪资范围

356个数据点

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Analyst, Enterprise Analytics

1份报告

$143,000

年薪总额

基本工资

$110,000

股票

-

奖金

-

$143,000

$143,000

面试经验

2次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Questionnaire/Pre-screening

3

Online Assessment

4

Behavioral Interview

5

Technical Interview

6

Offer

常见问题

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit