Data Engineer: Scale Data Pipelines & Insights

Upper Echelon NZ

Auckland

Sur place

NZD 90 000 - 140 000

Plein temps

Il y a 5 heures
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Résumé du poste

Upper Echelon NZ is seeking talented Data Engineers across New Zealand who are passionate about building scalable data solutions and turning complex data into meaningful business insights.

The opportunity involves designing and developing data pipelines, modern data platforms, improving data quality, and supporting data warehousing and analytics initiatives. Strong SQL, Python, and cloud experience are valued, along with familiarity with Snowflake, Databricks, dbt, and data modelling.

Qualifications

  • Experience designing, building and maintaining data pipelines and data solutions.
  • Strong SQL and Python or other programming languages.
  • Exposure to cloud platforms such as AWS, Azure or GCP.
  • Experience with modern data platforms and tools such as Snowflake, Databricks, dbt or similar technologies.
  • An understanding of data modelling, data integration and data quality.
  • A problem-solving mindset and the ability to work collaboratively with technical and non-technical stakeholders.

Responsabilités

  • Design, build and maintain scalable data pipelines.
  • Collaborate with stakeholders to translate business needs into data solutions.
  • Support data warehousing and analytics initiatives.

Connaissances

SQL
Python
Cloud platforms
Snowflake
Databricks
dbt
Data modelling
Data quality
Stakeholder communication

Outils

Snowflake
Databricks
dbt

Description du poste

Upper Echelon NZ is seeking talented Data Engineers across New Zealand who are passionate about building scalable data solutions and turning complex data into meaningful business insights.

The opportunity involves designing and developing data pipelines, modern data platforms, improving data quality, and supporting data warehousing and analytics initiatives. Strong SQL, Python, and cloud experience are valued, along with familiarity with Snowflake, Databricks, dbt, and data modelling.

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