SENIOR FULL-STACK DATA ENGINEER
Descripción de la oferta de empleo
Introduction to role AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development, and commercialisation of prescription medicines for some of the world's most serious diseases.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration.
Here, you would express diverse perspectives, contribute to an energised environment, and provide creative ideas - and be rewarded for this.
As a Senior Full-stack Data Engineer in the Drug Development Data Platform (3DP), you will support solution development, testing, provide technical leadership, and take responsibility for delivery.
This is a business-facing role and your communication and technical skills are equally important; you will be setting expectations, reporting progress, and managing relationships with senior stakeholders.
You will have a broad range of knowledge and experience across data & analytics.
You will work almost exclusively on our AWS data platform.
You will join a team that has delivered cloud solutions, such as the development of auto-scaling containerised ETL.
Similarly, we have built an automated ETL test harness which integrates with our evolving CI/CD processes.
You'll be part of a team of engineers who work closely with IT colleagues across the world in Mexico, Spain, India, and the UK.
You would be a technical point of reference in the team and need a collaborative delivery approach to be successful.
We prefer to use Agile but choose the appropriate approach for the team and stakeholders.
So, experience of a variety of delivery management approaches will come in useful.
You will provide technical support throughout our software development lifecycle, from the initial development of a technical design based on a blueprint, right through to hypercare.
Accountabilities - Support solution development and testing - Provide technical leadership - Take responsibility for delivery - Set expectations and report progress - Manage relationships with senior stakeholders - Work on AWS data platform - Develop auto-scaling containerised ETL - Build automated ETL test harness - Collaborate with global IT colleagues - Use Agile or appropriate delivery management approaches - Provide technical support throughout the software development lifecycle Essential Skills/Experience - Good experience of big data, ETL & cloud techniques, and tools (we currently use AWS-based Python, Terraform, Glue, S3, SQS) - Experience of triaging and addressing tickets via ServiceNow - Experience working in the DevOps lifecycle - You must have experience working in a global team - You are able to liaise with, and build strong relationships with business colleagues - You will be able to design and document development best practices - You must have strong analytical and data manipulation ability - You must have experience of technical leadership in data and analytics - You will need great interpersonal skills & a collaborative approach to delivery Desirable Skills/Experience - You are very likely to have experience of Agile practices using tools such as Jira - Experience of Angular JS, Java, Oracle, and PostgreSQL - Experience of Snowflake, DBT, Redshift (inc.
Spectrum) and Aurora - Experience of visualisation technologies (we are focused on Power BI) At AstraZeneca, you can make an impact on society through our sustainability goals.
Commit to making a difference beyond patients by pioneering AstraZeneca's sustainability strategy.
Have the opportunity to be a key contributor to Zero Carbon by and carbon negative across the entire value chain by .
Everyone can contribute towards our collective legacy of doing good for people, the environment, and society.
Ready to make a difference? Apply now! 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.
Detalles de la oferta
- Data Engineering Specialist
- Sin especificar
- 24/10/2024
- 22/01/2025
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