Senior Azure Data Engineer

3 days ago

Hong Kong Island, Hong Kong SAR China Michael Page International (Hong Kong) Limited Full time

Deep expertise in Azure Databricks , ETL frameworks Be an integral part of large-scale delivery engagements About Our Client We are on the exciting journey of simplifying and transforming our business and IT landscape. With a multi-year digitalisation programme within the organisation and we are growing our Data and Technology team. An exciting time lies in store for us and we are now inviting Data Engineer with Exceptional programming skills to join our team. Job Description Architecture, design, development, and delivery of enterprise grade data solutions within Microsoft Azure Guide and support junior colleagues to develop their data engineering skills in Azure Work closely with analysts, architects, and stakeholders to understand and translate business requirements into technical solutions Act as the technical product owner for the cloud analytics platform (incl. data warehouse, operational data store, semantic layer, and reference data solution) Produce and own the Data Model for the new DWH using dimensional modelling techniques Provide technical direction for Data and Business Analysts on the Data Transformation rules for mapping specifications Stay up to date on evolving technologies in this field and ensure the Data Platform and the engineering team running it, remain current and adhere to the relevant data governance and compliance policies The Successful Applicant A bachelor's degree in Computer Science or related field with more than 8 years of technology experience Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies Exposure across all the SDLC process, including testing and deployment Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc Good knowledge of Python and Spark are required Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to enable analytics using cloud technology and ML Ops Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure) Characteristics of a forward thinker and self-starter Ability to work with a global team of consulting professionals across multiple projects Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success Skills Data Ops, ML Ops Deep expertise in Azure Databricks , ETL frameworks Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc What's on Offer We offer competitive remuneration package and comprehensive fringe benefits including medical and life insurance, excellent learning & development opportunities and flexibility to the right candidate. #J-18808-Ljbffr

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