Data Support Engineer
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Job Location:
Guadalajara - Mexico
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
AstraZeneca is a global innovation-driven biopharmaceutical business that focuses on the discovery development and commercialization of prescription medicines for some of the worlds most serious diseases. R&D IT is AZs 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
- Interpret data process data analyze results and provide ongoing support of productionized applications
- Stronganalytical skillswith 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.
Date Posted
06-mar-2026Closing Date
19-mar-2026AstraZeneca 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.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
