Key Data Engineering Role Responsibilities
This position plays a crucial role in designing, building, and integrating data pipelines from various sources. The successful candidate will be responsible for ensuring the delivery of assigned work on projects across all business units and their deployment to production.
The key responsibilities include ensuring the successful delivery of assigned work on projects across all business units and their successful deployment to production. This also includes tracking the performance of our resources and growing our capability in line with business requirements.
Other key responsibilities include managing large-scale data extraction, ingestion, and processing for highly available distributed systems. Additionally, skilled in query performance tuning and writing Transact SQL scripts.
The successful candidate will be based in our Head Office, working flexibly within their jurisdiction with attendance at the workplace for in-person collaboration on at least one anchor day per week.
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Experience and Qualifications Required
* Minimum 3–5 years of relevant data engineering experience, including at least 3 years developing data pipelines.
* Proficiency in ETL development using Microsoft SSIS, Azure Synapse, or Hadoop platforms.
* Strong background in data modeling and data warehousing, with expertise in Kimball or Inmon methodologies.
* Demonstrated ability to build data products incrementally and manage data sets from multiple sources.
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About the Position
The position will provide an opportunity to work with a talented team, utilizing industry-leading technology. The selected candidate will be given the chance to develop their skills further through mentorship and training.
For those interested in taking on new challenges and collaborating with innovative individuals, this could be the ideal position. We welcome candidates who share our passion for delivering results-driven solutions.