Senior Data Engineer
Poland - Krakow - Office
Zendesk
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. Our goal is to help 170,000+ global businesses truly understand customer interactions at depths never thought possible until now.
As a Senior Data Engineer on Foundation Analytics, you will be responsible for building many key parts of the foundation data services platform including next generation reporting and analytics. Working closely with your team members to craft, develop and deliver reporting products for our customers 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 doingPublish 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
Basic Qualifications:
7+ years of software development/data engineering experience with 3+ years of hands-on experience of building scalable data platforms and/or reliable data pipelines
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.
Preferred Qualifications:
Experience writing ETL jobs to help address various data engineering challenges
Strong understanding of Build tools and Deployment tools
Familiarity with Kafka, Flink, Spark frameworks with validated understanding of at least one job scheduling tool: Airflow, Celery, AWS Step functions
Our data pipelines are written in Java and Python based software stacks
We use many open source technologies, including: Spark, Flink, Hudi, Airflow
Our software runs on AWS services like EMR and in Kubernetes, and integrates with AWS services S3, Athena, and Glue for data access
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.
The Poland annualized base salary range for this position is zł198,000.00-zł340,000.00. Please note that while the salary range represents the minimum and maximum base salary rate for this position, the actual compensation offered will be based on job related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives that will be communicated during the offer stage.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. We advocate for digital first customer experiences—and we stick with it in our workplace. Over 5,000 employees worldwide are collaborating from kitchen tables, home offices, coworking spaces, and Zendesk workspaces to make one team.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Athena AWS CX Data pipelines Engineering ETL Flink Java Kafka Kubernetes Machine Learning Open Source Pipelines Python Scala Security Spark Step Functions Testing
Perks/benefits: Career development Equity Salary bonus
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