Senior Consultant-Data Engineer
Job title - Senior Consultant-Data Engineer
Career Level - D2
Leverage technology to impact patients and ultimately save lives
Do you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!
ABOUT ASTRAZENECA
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.
ABOUT OUR IT TEAM
It’s a dynamic and results-oriented environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.
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 thisroleyouwilljoin a global teamofengineers (software, data, MLOps), architects, BAs, PMs, in ourAugmentedBiologics Platform to support biologics and antibodydrugdiscovery. The followingwillform partof 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 productswith 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.
WHY JOIN US?
We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.
We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.
SO, WHAT’S NEXT?
Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.
WHERE CAN I FIND OUT MORE?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
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