Requirements:

• As a key member of the Data & Advanced Analytics team, the role of Data Engineer is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality data assets to support investment decision making.
  
• In this position, you will be working with one of the most advanced cloud Data and Analytics Platform in the industry which serve to the investment entities and cultivate a business relationship that assists in meeting business demands. You will also support and collaborate with Power BI developers, data scientists and investment professionals and engage in technical support, research, and integration through the implementation lifecycle of projects and solutions.
  
• This role is accountable for ensuring that all projects, solutions, and platforms align with and support overall enterprise Data & Technology strategy & goals, and adhere to company policies, industry standards and best practices.

As a member of this team, you will be responsible for:

• Designing and developing ETL pipelines to achieve a high level of reliability, scalability, and security. Sourcing, transforming, and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, and Power BI.
• Operating in an Agile development environment.
• Communicating effectively with other engineers in the same team, with other teams and with various other partners such as product managers, data analysts and members of senior management.
• Participating in solution build, delivery, support, and troubleshooting
• Leading change and communicating impacts to business partners and fellow team members
• Exhibiting ability to work on multiple projects simultaneously and ensure delivery on time, within scope and within budget.
• Participating in establishing sound data management practices for the team and the organization
• Identifying, defining, and implementing opportunities for enhancing existing processes
• Defining and executing technical test plans and perform unit and integration testing.

To succeed in this role, you have

• Three to five years of hands-on experience building modern data warehouse and data & analytics products.
• Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required.
• Relationship Building. A proven track record of building deep technical relationships. Experience in aligning expectations across various partners.
• Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
• Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management is required.
• Breadth of technical experience and knowledge across the Azure Data Platform, with depth Subject Matter Expertise in two or more of the following Data Platform resources is required.
• Azure Data Factory or Azure Synapse Analytics
• SQL database with dimensional modeling
• Power Platform includes Power Automate and Power Apps
• Experience with dimensional modeling (star/snowflake)
• Bachelor's degree in an appropriate field of study or equivalent work experience
• Microsoft certifications are preferred.