Associate Data Engineer

hace 6 meses

Guadalajara, México AstraZeneca A tiempo completo

**ABOUT THE **OPERATIONS IT **TEAM**

Operations IT is a global IT capability supporting the Global Operations organisation. We business partner with Operations capability areas: Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics and Global External Sourcing and Procurement. We operate out of Operations hub sites including in the UK, Sweden, US, and China; and out of our Global Technology Centres in India and Mexico.

Here our work has a direct impact on patients - transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning and more.

It’s a dynamic and challenging 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 transforming the roles and work of colleagues, forever. This is your chance to be part of a team that has the backing to innovate, disrupt an industry and change lives.

**THIS IS WHAT YOU’LL DO**

We are recruiting a Data Engineer to join our newly established Data, Analytics & AI group.

As part of our transformational journey on Data & AI in Operations, we are taking the steps to advance our Operation Data Hub (ODH) to Data Mesh architecture. ODH exists to give all Operations units access to critical data and analytic tools at pace, accelerating their work on life saving medicines. The vision of ODH is also accelerating Operations’s data strategy of making our data Findable, Accessible, Interoperable and Re-useable (FAIR). This is being achieved through the creation of a distributed data architecture, management of our data and data products will sit at the heart of this.

As a Data Engineer, you will be part of a engineering team accountable for harvesting, storing, quality checking, transforming, and visualizing Operations data, build out reusable data products, which users from Operations units can self-service for analytics and AI/ML workflows. You will also be providing ongoing Business-as-Usual support to ensure these data products evolving overtime to meet Operations business objectives.

It is our goal to create scalable solutions to support the development of valuable data products and address broad range of data use cases from Operations, including batch analytics based on data warehousing, data mart and Big Data stack, and emerging use cases on real-time analytics based on streaming.

Our technology is focused around the AWS stack and modern data engineering stack, such as: Snowflake, DBT, DataKitchen, AWS Kinesis. The EL tools are Qlik Replicate and the Visulaization is through Qlik Sense and Power BI.

The core of our development and support team are based in Chennai. You will also work closely with the Enterprise Data & AI teams to leverage central Enterprise Data Platforms for Data Cataloging, Master Data Management and Reference Data Management.

You will need a collaborative delivery approach to be successful. We prefer to use Agile but choose the appropriate approach for the project. So, experience of a variety of delivery management methodologies would come in useful.

**YOU WILL NEED TO HAVE**
- 3+ years experience in delivering software engineering or data engineering solutions
- Advanced SQL skills
- Experience with & knowledge in a broad base of data tools, ETL frameworks, monitoring and data technologies.
- Good to have an experience of visualization technologies (we are focused on Power BI and Qlik Sense)
- Experience of data analysis, such as: profiling, investigating, interpreting and documenting data structures
- AWS services, Snowflake, (good to have - DBT, DataKitchen, AWS Kinesis)
- Good communication and facilitation skills

**_ Technology at AstraZeneca is a home for purposeful disruptors_**

**SO, WHAT’S NEXT?**

**WHERE CAN I FIND OUT MORE?

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