Senior Data Engineer

<h2>Job Description</h2><p></p><h2>Important things for you:</h2><h2></h2><ul><li><p><b>Salary range</b><span> (contract of employment):</span></p><ul><li><p><span>PLN 235,000.00 - 353,000.00</span></p></li><li><p><b>Annual bonus</b><span> (Eligible for annual bonus depending on individual and company performance)</span></p></li></ul></li><li><p><b>Hybrid work model</b>:<span> one day a week in the office </span></p></li><li><p><b>Additional Days-off </b><span>- Recharge Friday (one day per quarter) </span></p></li><li><p><b>In-office perks</b> -<span> lunches, breakfasts, and massage sessions </span></p></li></ul><p></p><p><span>Zendesk is seeking a </span>Senior Data Engineer<span> 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.</span></p><p><span>As a </span>Senior<span> 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.</span></p><p><span>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!</span></p><p></p><h2>What you’ll be doing</h2><ul><li><p><span>Publish well written and tested code to production</span></p></li><li><p><span>Participate in designing and developing key features and functionality of our data platform</span></p></li><li><p><span>Investigate production issues and fine-tune our data pipelines</span></p></li><li><p><span>Continually improve data pipelines for high efficiency, throughput and quality of data</span></p></li><li><p><span>Build a platform that will be the foundation for our customer facing reporting features, our machine learning initiatives, and internal product analytics</span></p></li><li><p><span>Collaborate with team members on researching and brainstorming different solutions for technical challenges we face</span></p></li><li><p><span>Solve sophisticated problems with passion and technical leadership. helping to discover solutions to sophisticated problems</span></p></li><li><p><span>Develop standard methodologies and mentor others to help make technical decisions on projects</span></p></li></ul><p></p><h2>What you bring to the role</h2><ul><li><p>4+ years of software development/data engineering experience<span> with 3+ years of hands-on experience of building scalable data platforms and/or reliable data pipelines</span></p></li><li><p>Experience with working in Snowflake and DBT</p></li><li><p>Java, Python, Scala (proficient in at least one)</p></li><li><p><span>Developer skills; demonstrating a strong passion to design scalable and fault-tolerant software systems</span></p></li><li><p><span>Experience with AWS or related cloud technologies</span></p></li><li><p><span>Experience in developing and operating high volume, high availability environments</span></p></li><li><p><span>Working understanding of Kubernetes’ infrastructure and security best practices</span></p></li><li><p><span>Ability to work optimally in a multifaceted, occasionally interrupt driven environment that includes geographically spread teams and customers</span></p></li><li><p><span>Solid working understanding in Data Modeling</span></p></li><li><p><span>Proven track record with cloud and data related technologies.</span></p></li></ul><p></p><h2><span>Additional Qualifications:</span></h2><ul><li><p><span>Experience writing ETL jobs to help address various data engineering challenges</span></p></li><li><p><span>Strong understanding of Build tools and Deployment tools</span></p></li><li><p><span>Familiarity with Kafka, Flink, Spark frameworks with validated understanding of at least one job scheduling tool: Airflow, Celery, AWS Step functions</span></p></li></ul><p></p><h2>Tech Stack</h2><ul><li><p><span>Our data pipelines are written in Java and Python based software stacks</span></p></li><li><p><span>We use many open source technologies, including: Spark, Flink, Hudi, Airflow</span></p></li><li><p><span>Our software runs on AWS services like EMR and in Kubernetes, and integrates with AWS services S3, Athena, and Glue for data access.</span></p></li></ul><p></p><p>#LI-DF4</p><p></p><p></p>The Poland annualized base salary range for this position is <span>zł235,000.00-zł353,000.00.</span> 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