Job Description
Zendesk is seeking a Senior Data Engineer to join The Data Platform team. The team is responsible for implementing a globally distributed system that uses powerful cloud technologies that span Amazon Web Services and Snowflake. Our goal is to help 170,000+ global businesses truly understand customer interactions at depths never thought possible until now.
We’re Looking For
As a Staff Data Engineer, you will be responsible for building many key parts of the foundation data services platform. Working closely with your team members to craft, develop and deliver tools that will help our customers, internal engineering teams deliver solutions and high quality software projects on time.
Data is at the heart of Zendesk’s business! This is an autonomous role that can have a huge impact across all of the Zendesk product family!
What you’ll be doing
Publish well written and tested code to production
Participate in designing and developing key features and functionality of our data platform
Investigate production issues and fine-tune our data pipelines
Continually improve data pipelines for high efficiency, throughput and quality of data
Build a platform that will be the foundation for our customer facing reporting features, our machine learning initiatives, and internal product analytics
Collaborate with team members on researching and brainstorming different solutions for technical challenges we face
Solve sophisticated problems with passion and technical leadership. helping to discover solutions to sophisticated problems
Develop standard methodologies and mentor others to help make technical decisions on projects
What you bring to the role
11+ years of software development/data engineering experience
with 4+ years of hands-on experience of building scalable data platforms and/or reliable data pipelines
Experience with working in
Snowflake and DBT
Java, Python, Scala (proficient in at least one)
Developer skills; demonstrating a strong passion to design scalable and fault-tolerant software systems
Experience with
AWS
or related cloud technologies
Experience in developing and operating high volume, high availability environments
Working understanding of
Kubernetes’
infrastructure and security best practices
Ability to work optimally in a multifaceted, occasionally interrupt driven environment that includes geographically spread teams and customers
Solid working understanding in Data Modeling.
Proven track record with cloud and data related technologies.
Additional Qualifications:
Experience writing
ETL
jobs to help address various data engineering challenges
Strong understanding of Build tools and Deployment tools
Familiarity with Kafka, Airflow, Celery, AWS Step functions
Tech Stack
Our data pipelines are written in Java and Python based software stacks
We use many open source technologies, including: Spark, Airflow
Our software runs on AWS services like EMR and in Kubernetes, and integrates with AWS services S3, Athena, and Glue for data access.
#LI-ML12
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.
