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Senior Data Engineer Job Opening In Kraków – Now Hiring Zendesk


Job description

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.

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 zł235,000.00-zł353,000.00.

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.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Kraków, Poland, highlighting market share and opportunities for professionals in Senior Data roles.

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Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Zendesk adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

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5. Accountabipty

6. Respect for human rights

7. Obeying Poland laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Kraków. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Senior Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Zendesk interview tips for Senior Data Engineer

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Other Openings

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Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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