Cloud Native Data Solutions Architect

7 days ago

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

Job Role
A leading fintech organization is looking for a seasoned Data Engineer to design, develop, and maintain its modern cloud-native data platform.

Key Responsibilities

  • Design and implement scalable data pipelines using a contemporary data stack.
  • Collaborate with engineering, analytics, and product teams to translate business requirements into data-driven solutions.
  • Support the development and optimization of the cloud data warehouse (e.g., Snowflake, Databricks, AWS RDS).
  • Ensure data integrity, quality, and accuracy through monitoring, testing, and validation processes.
  • Adhere to best practices in code quality, documentation, testing, and CI/CD to ensure secure and maintainable solutions.

Requirements

  • At least 3 years of experience in data engineering or a related field.
  • Strong SQL skills and experience working with cloud data warehouses (Snowflake, Databricks, or AWS RDS).
  • Hands-on programming experience in Python for data transformation and automation.
  • Familiarity with modern data stack tools such as dbt and Airflow.

Skills

AWS, dbt, Airflow, Snowflake, Databricks, ETL, Python, SQL, Data Engineering

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