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Senior Data Engineer

4 miesięcy temu

Kraków, Polska Zendesk Pełny etat
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 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

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

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

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.