AI Data Engineer
Zendesk
full-time
Posted on:
Location Type: Remote
Location: Portugal
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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.
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, and 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. This includes identifying bottlenecks, ensuring scalability, and minimizing operational costs in cloud-based data environments.
- Excellent communication and collaboration skills.
Benefits
- Flexible working hours
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata pipelinesETL processesSQLdbtdata modelingPythondata transformationcloud columnar databasesperformance testing
Soft skills
communicationcollaboration