Staff Data Engineer

Job Description Zendesk is seeking a Staff 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. 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 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 4+ years of
software development/data engineering experience with 3+ 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,
Flink, Spark frameworks with validated understanding of at least one job
scheduling tool: 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, 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. #LI-JJ2 The Poland annualized base salary
range for this position is zł278,000.00-zł418,000.00. 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. 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. 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.