of data modelling and data warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions Understanding of containerisation using Docker Experience with CI/CD pipelines and More ❯
and maintenance of IDBS's software platforms adheres to IDBS's architecture vision. What We'll Get You Doing Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark (PySpark) to support analytics and other data-driven initiatives. Support the elaboration of requirements, formulation of the technical implementation plan and backlog refinement. Provide technical perspective to products More ❯
ensure data integrity and reliability. Optimise data workflows for performance, cost-efficiency, and maintainability using tools such as Azure Data Factory, AWS Data Pipeline for Data Orchestration, Databricks, or Apache Spark. Support the integration of data into visualisation platforms (e.g. Power BI, ServiceNow) and other analytical environments. Ensure compliance with data governance, security, and privacy policies. Document data architecture More ❯
