Senior Consultant-Data Engineer

At AstraZeneca, we're not just about creating life-changing medicines; we're about creating a culture of innovation and collaboration. We have taken on an ambitious goal of revolutionizing antibody discovery at AstraZeneca by significantly reducing the time it takes to discover a clinical candidate using world-class technology and advanced data & AI capabilities. To support this initiative, we are building Augmented Biologics Discovery Platform within the R&D IT. We're looking for a Data Engineer with a focus on aata testing and validation. In this role you will join a global team of engineers (software, data, MLOps), architects, BAs, PMs, in our Augmented Biologics Platform to support biologics and antibody drug discovery. The following will form part of the role:  

• Responsible for designing and implementing software-based solutions to make our science easier to do, easier to learn from, and offer faster delivery and higher quality across biologics discovery. 

• Design and build novel products and features to address long-standing problems in drug discovery with a focus on producing amazing user experiences that are more than the sum of their parts. 

• Collaborate with product, design, data science, and our scientific teams to build cutting-edge experiences and services 

• Propose and implement changes to our data models, core architecture, and codebase 

• Develop data products with state-of-the-art data technologies even if you’ve not worked with those before  

• Advocate and advance modern, agile software development practices and help develop and evangelize a vibrant software engineering culture 

• Collaborate in the transformation of an estate of siloed systems into an ecosystem that delivers great user experiences 

• Plan, implement and support core infrastructure development collaboratively with an overall objective to improve the scalability, reliability, performance, and availability 

• Passionate to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community 

• Working with cutting edge technology stack in cloud environment 

The skills 

• Experience designing, implementing data products supporting bespoke analytics and AI applications 

• Solid experience using data related services in AWS Data services like DMS, SCT, RDS, Aurora, Redshift etc. 

• Solid experience using relational databases (PostgreSQL, Oracle) and NoSQL databases (Elastic Search/ MongoDB).  

• Experience of data analysis – profiling, investigating, interpreting, and documenting data structures. 

• Experience in performance tuning SQL and understanding ETL pipelines. 

• Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues. 

• Good experience in consuming or exposing web services (i.e. SOAP, REST). 

• Design, develop, and deploy production-grade scalable data products using container technologies like Docker and Kubernetes with a focus on data testing and validation 

• Production experience delivering CI/CD pipelines (Jenkins, ArgoCD, TravisCI, Git). 

• Excellent verbal and written skills for effective communication with a variety of personas including, engineers, testers, architects, product managers, scientists, etc. 

• Experience workig in Bioinformatics / Computational or molecular biology domain. 

The following skills would be advantageous for your application but are not considered essential: 

• Experience working with AWS - advantage.