Zendesk

AI Data Engineer

Zendesk

full-time

Posted on:

Location Type: Hybrid

Location: Dublin • 🇮🇪 Ireland

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Job Level

Mid-LevelSenior

Tech Stack

CloudETLPythonSQL

About the role

  • Collaborate with team members to define requirements and translate them into scalable data models and pipelines.
  • Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.
  • Build and optimize SQL-based data models using dbt and other ETL tools.
  • Identify and implement improvements in data delivery, processing performance, and system efficiency.
  • Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.
  • Work closely with engineering and analytics teams to enhance Zendesk’s CRM and customer support tools.

Requirements

  • 3+ years of data engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments.
  • Extensive experience with SQL, ideally in the context of data modeling and analysis.
  • Hands-on production experience with dbt.
  • Proven knowledge in modern and classic Data Modeling - Kimball, Inmon, etc.
  • Programming skills in Python or a similar language, with an emphasis on data transformation and automation.
  • Experience with cloud columnar databases - primarily with Snowflake, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems.
  • Excellent communication and collaboration skills.
  • SnowPro Core certification or equivalent hands-on expertise (preferred).
  • Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics (preferred).
Benefits
  • Hybrid way of working with local office attendance required part of the week; flexibility to work remotely for part of the week.
  • Offices in global cities with spaces for collaboration, quiet, and events.
  • Opportunity to grow your skills in a dynamic environment.
  • Inclusive experience and global diversity, equity, & inclusion efforts.
  • Reasonable accommodations for applicants with disabilities and disabled veterans.

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata pipelinesETL processesSQLdbtdata modelingPythoncloud columnar databasesSnowflakeperformance testing
Soft skills
communicationcollaboration
Certifications
SnowPro Core certification
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