Data Engineer ETL - Talend

Job Description

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. The R&D IT is AZ’s global IT capability function supporting key business areas operating out of sites across the US, UK, Sweden, India & Mexico.

We are looking for a hardworking Data engineer who will demonstrate tools & technology standard methodologies to improve delivery performance & data engineering capabilities in the D&A space.

Roles & responsibilities:

• Provide data engineering (ETL, ODS, Marts, Reports) support to R&D IT portfolio
• Deliver efficient 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

Required skills:

• Experience of working with a range of data analytics architectures. These may include: traditional warehousing, distributed computing, visualization analytics
• Experience with & knowledge of Talend including:
• Use of enterprise version of Talend Software preferably in a virtualized environment like AWS
• Development of both standard ETL jobs deployed on Job Servers and services (REST, SOAP) deployed on Talend ESB infrastructure
• Familiar with using version control (branching, merging etc), ideally Git
• Talend project branches, merging them and publishing and deploying code to runtime environments
• Experience in Talend best practices for error handling, optimization, job layout, job design and naming conventions. Techniques for optimising Talent code.
• Experience and familiarity with data models and artefacts
• Any DB experience like Redshift, Netezza, Teradata, etc
• Interpret data, process data, analyze results and provide ongoing support of production applications
• 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 efficient independently or as part of a team to achieve objectives
• Eager to learn and develop new tech skills
• Good written and verbal skills, proficient English

Desiered skills:

• Experience (processes & data): Pharma R&D
• NoSQL, virtualization, data streaming etc
• Amazon Web Services: Connecting, loading and reading data from AWS database technologies like MySQL, Aurora, AWS Redshift, PostgresSQL
• Experience with Talend Metadata Manager and Talend Data Preparation an advantage
• MS Power BI knowledge or any other reporting tools
• Agile/Scrum process
• ITIL knowledge

Educational background:

Bachelors / Masters in Computer Science or related subjects

Overall years of relevant experience:

3 to 6 years

Apply now. Join us!

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, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.