Data Support Engineer

hace 7 días

Guadalajara, México AstraZeneca A tiempo completo

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. R&D IT is AZ’s global IT capability function supporting key science related business areas operating out of sites across the US, UK, Sweden, India & Mexico. We have a varied range of data engineering projects which use the latest cloud and architectural best practices to deliver a broad range of data solutions for the business. For example, monitoring Patient Safety aspects of the COVID-19 Vaccine and providing Operational and Financial business intelligence on the latest drugs in the development pipeline.

We are looking for a passionate Data Engineer who will leverage tools & technology best practices to improve delivery performance & data engineering capabilities in the D&A space.

Hybrid role: 3 days at the office 2 days remote

**ROLES & RESPONSIBILITIES**:

- You will be part of a truly Agile and DevOps team which provides data engineering (ETL, Data Products, Reports) support across the R&D IT portfolio
- Deliver cost effective solutions to support data engineering activities, for example data ETL workflows
- Test and quality assess new D&A solutions, to ensure they are fit for release: code assurance, Unit and System Integration Testing, Data testing, release management control and support of UAT processes
- Ensure that business data and information assets are made available as data services and artefacts for consumption by the wider AZ enterprise

**MANDATORY SKILLS**:

- SQL proficiency for data analysis and transformation.
- Any Database experience, preferably Snowflake
- Experience of working with a range of data analytics architectures. These may include: modern data warehouses (Snowflake, Redshift), distributed computing, visualization analytics
- Familiar with using version control (branching, merging etc), ideally Git
- Experience and familiarity with data models and artefacts
- Strong analytical skills with the ability to resolve production issues
- Understanding of business area / process in scope
- Willing to work in a cross cultural environment
- Ability to work effectively independently or as part of a team to achieve objectives.
- Eager to learn and develop new tech skills as required

**DESIRED SKILLS**:

- Experience with & knowledge of Python, particularly in conjunction with serverless technology such as AWS Lambda and AWS Glue
- Cloud Engineering Experience deploying Infrastructure as Code, particularly Terraform.
- Experience on CI/CD workflows.
- DBT fundamentals. Experience with modeling (staging, intermediate, marts), materializations (table, view, incremental, ephemeral), and project configuration.

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