- अनुभव
- कोई
- वेतन
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- उद्घाटन
- 1
- की तैनाती
- 3 पहले
- कार्य मोड
- कार्यालय में हूँ
- फिर शुरू करना
- आवेदन करना आवश्यक है
आप कहाँ काम करेंगे
नौकरी का विवरण
About the Company
Our client is a reputable New Zealand company currently undergoing an exciting transformation of their data platform. Having successfully rolled out Databricks, the organization aims to enhance platform functionalities, integrate new data sources, and provide quicker access to reliable business data. This role offers a chance to influence the next stage of their data evolution while collaborating with an experienced business intelligence and data team.
Role Overview
We are seeking a Contract Data Engineer to advance the development of a modern Databricks environment and aid in delivering scalable, high-quality data solutions. This hands-on position requires independent work and rapid contribution to ongoing projects.
Key Responsibilities
- Designing, developing, and improving ETL/ELT pipelines.
- Integrating additional data sources into the enterprise-wide data platform.
- Creating and fine-tuning Databricks-based solutions.
- Supporting enhancement of data models and semantic layers.
- Managing and curating data within the Gold Layer architecture.
- Increasing data accessibility for reporting and analytical purposes.
- Collaborating closely with BI resources to elevate reporting results.
Required Qualifications
- Demonstrated experience as a Data Engineer within cloud-based modern data environments.
- Strong practical knowledge and usage of Databricks.
- Advanced proficiency in SQL.
- Expertise in ETL/ELT pipeline development.
- Experience with data modelling and enterprise data platforms.
- Familiarity with Power BI and reporting systems.
- Ability to work independently with limited supervision.
- Strong analytical and problem-solving skills with a focus on delivering results.
Preferred Qualifications
- Experience with Azure data technologies.
- Background in constructing curated data layers and contemporary data architectures.
- Prior involvement in supporting business intelligence and analytics teams.