Description

•   Ability to understand and track new developments of how digital solutions are changing or have the potential to transform current models of business. •  Strong familiarity with emerging digital frameworks and patterns, Information Security and Data access controls •  Knowledge of IoT platforms and data collection solutions to support IoT projects (i.e. business automation, manufacturing, asset management, health, asset tracking, smart utilities, etc.) •  Experience of working with platform/package vendors and their solution teams as part of architecting the overall solution. •  Technical acumen and proficiency in Agile and DevOps methodologies, tools, and governance/standards •  Deep Microsoft Azure product knowledge and understanding of product features, with exposure to other cloud solutions (Google, AWS) a plus. •  Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level. •  Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management. Understands industry recognised data modelling patterns and standards Must Have Technical/Functional Skills •  Azure •  Delta Lake & Unity Catalog •  Databricks Workflows •  Databricks SQL •  Apache Spark •  PySpark •  SQL •  Python •  Data Modeling •  ETL/ELT Design •  Batch and Streaming Architectures •  Data Warehousing Concepts

Key Skills

Education

Bachelor's degree