Cloud Native Data Platform Specialist

2 days ago

Sydney, New South Wales, Australia beBeeDataEngineering Full time $140,000 - $150,000
Job Title

Data Engineering Specialist

Our organization is seeking a skilled Data Engineering Specialist to design, build, and maintain a modern cloud-native data platform. The ideal candidate will have strong technical skills in data engineering and be eager to grow their expertise in scalable data systems, modern pipelines, and advanced analytics environments.

Key Responsibilities
  • Develop reliable and scalable data pipelines using a modern data stack.
  • Collaborate with stakeholders across engineering, analytics, and product teams to translate business requirements into data solutions.
  • Support the development and optimization of the cloud data warehouse.
  • Ensure data quality, integrity, and accuracy through monitoring, testing, and validation processes.
  • Contribute to the development of semantic models, dashboards, and BI solutions to improve access to insights.
Required Skills and Qualifications
  • At least 3 years of experience in data engineering or a related field.
  • Strong SQL skills and experience working with cloud data warehouses.
  • Hands-on programming experience in Python for data transformation and automation.
  • Familiarity with modern data stack tools such as dbt and Airflow.
  • Understanding of data modelling concepts and ETL/ELT best practices.
Benefits
  • Mid-Senior level position.
  • Full-time employment.
  • Opportunities for growth and professional development.
Others
  • Experience with Kafka, Segment, or Terraform is desirable.
  • Good communication skills with the ability to collaborate across technical and non-technical teams.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
Details
  • Industries: Technology, Information and Media, Information Services, and Financial Services.

AWS / dbt / Airflow / Snowflake / Databricks / ETL / Python / SQL / Data Engineering / Fintech

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