Job Description

What We Value: Our Culture Creating a culture that inspires change and momentum requires the right team. We know what it takes to lead an industry, and are looking for leaders who seek constant growt What We Value: Our Culture Creating a culture that inspires change and momentum requires the right team. We know what it takes to lead an industry, and are looking for leaders who seek constant growth, want to excel, and continuously improve upon themselves and the industry. The culture at Revantage is built on our shared core values and commitment to be: Achievers - We expect high standards for ourselves and enable the success of our teams. Enthusiasts - We face challenges with optimism and believe anything is possible. Leaders - We commit to continuously improve our performance. Learners - We learn from our challenges, successes and the diversity of our people. Partners - We deliver value and positive impact to our partners. Why This Role Is Valuable The primary responsibility of the Data Engineer is to design, develop, implement and support the core data platform and supporting processes that enable data centric functionality for data integration, data analytics and reporting within Revantage Asia and the Portfolio Companies that it supports. How You Add Value (including but are not limited to) .Strong business acumen and comfortable to work within a startup mindset/environment .Take ownership of data engineering efforts that builds data pipelines to transform and automate data flows and ensure constancy and quality of enterprise data. .Be comfortable to leverage existing frameworks, methodology and tools (eg. Sparx Enterprise Architect) to deliver initiatives according to agreed code and design practices. .Develop high quality and reusable code to support core data platform initiatives including data integration, data warehousing, and data transformation pipelines. .Translate data models, mappings and specification into engineered solution for consumption by downstream systems, data analysts and data scientists .Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance .Work closely with all the squad and product owners and participate in SCRUM team ensure team productivity and improved quality .Support enterprise data quality capabilities by developing technology solutions that enable continuous improvement of data quality .Ensure engineering products and codes are documented and maintained in the source code repositories and collaboration spaces (e.g. Confluence, SharePoint) What You Bring To The Role .5-10 years professional experience as a data engineer, software engineer, data analyst, data scientist, or related role .Experience with Microsoft Azure Data Integration Stack (Azure Data Lake Gen2, Azure Data Factory, Delta Lake, SSIS, SQL Server, Azure Data Warehouse and DevOps) .Have experience developing solution using the Microsoft Power Platform including design, solution architecture, issue identification/resolution, and support. .Good knowledge of Power platform and Microsoft 365 suites (SharePoint, Power Apps, Power Automate, Power BI, Teams, Power Fx, Dataverse, GraphAPI, Power Query etc.) .Expertise building ETL and data pipelines on Databricks using data engineering languages Python and SQL on Azure .Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc .Experience with Azure DevOps including test and build automation tools and processes .Experience with relational and dimensional database modelling (Relational, Kimball, Data Vault) .Excellent technical documentation and writing skills, and have published API documentation or similar .Experience with visual modelling tools including UML