Our Corporate Actuarial Department is seeking a Data Engineer to join our growing team. This is a full time, exempt role. This is a fully remote or hybrid opportunity. POSTION OVERVIEW: Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. This role primarily will become proficient with all internal & external data produced and consumed by THG. The engineer will understand where the data is, basic data models and architecture, how to access and obtain data and how to manipulate and work with data to produce output – which may be reports, datasets or self-service reports. IN THIS ROLE, YOU WILL:Design, develop, and maintain ETL processes using SQL, Python, and Spark to ensure efficient and reliable data integration.Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and implement data solutions that meet those needs.Implement and optimize data warehousing solutions on Azure Cloud, utilizing services such as Azure SQL Data Warehouse and Azure Synapse Analytics.Monitor and troubleshoot data pipelines to ensure data accuracy, completeness, and timely delivery.Stay up-to-date with industry trends and emerging technologies to continuously enhance and improve data engineering processes.WHAT YOU NEED TO APPLY:2-5 years related experience and bachelor’s degree. Degrees and/or related experience in Applied Data Science, Data Science, Information and Data Science, Information Management Analytics, Data Mining, Predictive Analytics are most sought-after. Degrees in Statistics, Mathematics, Computer Science, Information Systems are also preferred. Skills:Analytical Skills: Data Engineers work with large amounts of data that will include facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions.Communication Skills: Data engineers are often called to present their findings or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas.Critical Thinking: Data engineers must look at the numbers, trends, and data and come to new conclusions based on the findings.Attention to Detail: Data is precise. Data engineers must make sure they are vigilant in their analysis to come to correct conclusions.Math Skills: Data engineers intermediate need math skills to estimate numerical data.