Associate Data Engineer

hace 4 meses

Guadalajara, México AstraZeneca A tiempo completo

Performs tasks associated to the successful delivery of team objectives.
- Provide data and analytics solutions either through enterprise services or direct to AstraZeneca functions.
- Deliver robust, cost-effective, automated solutions to support frequently asked business questions/analytical demands.
- Responsible for the implementation of engineering standards, roadmaps and blueprints that maximises current technology platforms and adapts to new data technology, working closely with Data Architects and Solution Architects.
- Test and quality assess new data and analytics and DataOps solutions, to ensure they are fit for release: code assurance, Unit and System Integration Testing performance tuning, data testing, release management control and support of production processes including their SLAs.
- Innovate and test new technologies with relevance to data and analytics, including proof of technology/value assessments and business case development.
- Participates in data and analytics solution evaluation activities and project estimates which contribute to the creation of business case and delivery plans.
- Contribute to the continued development of Data Engineering as a capability - training, tooling, ways of working, and operating model to optimise output and value.
- Ensure that business data and information assets are made available as data services and artefacts for consumption by the wider AstraZeneca enterprise to ensure consistency and strategic alignment of all data and business intelligence solutions.
- Selection and implementation of data management technologies and industry best practices, in alignment with the Enterprise Architecture and Technology Innovation functions.
- Maintain an on-going professional development in data and analytics technologies (and methodologies) to keep AstraZeneca current with advancing and changing data technology landscape and innovation.
- Undertaking relevant data management and business intelligence training programmes - (i.e. Degreed).

**Education, Qualifications, and Experience**

**Essential**
- Bachelors Degree or equivalent number of years of experience in a Computer Science or Data Management related field

**Desirable**
- Experience with DevOps or DataOps concepts, preferable hands-on experience implementing continuous integration or highly automated end-to-end environments
- Understanding of a microservices architecture
- Industry experience with data in large, complex data settings, consultancy or vendor experience

**Skills and Capabilities**

**Essential**
- Proficiency in Javascript and debugging is required.
- Knowledge of how web pages load and implementation (Front-end).
- Experience working with CSS selectors.
- Experience with SPA and non-SPA pages.
- The role holder will possess a blend of design skills needed for Agile data development projects
- Proficiency or demonstratable passion for learning, in data engineer techniques and testing methodologies
- Proficiency or demonstratable passion for learning, in data development technologies

**Desirable**
- Experience in reusing of metadata and prebuilt components from cataloguing tools.
- Experience with Adobe Analytics or any other Analytics suite
- Knowledge in a task management tool as Jira.
- Experience with web page implementation, web performance and optimization.
- Experience using a Tag Management System (Tealium, GTM, Ensighten or similar).
- Awareness and understanding of the external market for data-related technology and best practices
- Exposure to Data Pipelines (Ingest & Store, Data Preparation, Discover & Present, Insight & Experience)
- **Expectation of working in the office 3 days a week statement**

**When we put unexpected teams in the same room, we ignite ambitious thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and bold world.

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