.DescriptionData Engineer II (Azure)Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life.Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHEREWhy Syneos HealthWe are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong.Job SummaryThe Technology & Data Solutions (TDS) business unit is the Syneos Health accelerator for life sciences innovation. TDS houses our advanced technology acquisitions, homegrown products & applications, actively participates in new M&A and partnership activities, delivers critical insights as part of our integrated strategy for customers and drives enterprise-wide adoption and change management for innovative tech & data solutions. Our work supports getting meaningful new medicines to patients faster, with greater positive impact. The Data Engineer II supports our business goals by designing, implementing, and maintaining data pipelines using cloud-native tools in a modern data stack.Job ResponsibilitiesWork independently to solve open-ended questions.Develop and maintain end-to-end data pipelines using cloud-native solutions to extract, load, and transform data from disparate data sources to a cloud data warehouse.Capable of formatting and distributing custom data extracts through various means (e.G., custom SFTPs, APIs (e.G., RESTful), and other bulk data transfer mediums) and optimizing data storage options based on business requirements.Create models to transform raw data into analytics ready data structures.Competent in helping to develop/design database structure and function, schema design, and database testing protocols.Create connectors for data pipelines to ingest data from disparate sources into a data warehouse
