JOB TITLE: DATA ENGINEER

CAREER LEVEL: D2

Leverage technology to impact patients and ultimately save lives

Do you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!

ABOUT ASTRAZENECA

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that

focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.

ABOUT OUR IT TEAM

It’s a dynamic and results-oriented 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 redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and inclusively together.

ABOUT THE ROLE

We are looking for a Data Engineer to help us build intelligent applications that make use of our structured and unstructured data to derive key insights. As part of the R&D Data Foundation engineering group you will work together with ML engineers and data scientists to build the data foundations supporting R&D.

We are building a global Competitive Intelligence platform that will provide industry leading competitive intelligence across our R&D and Commercial organisations. As a member of our team, you will be primarily responsible for implementing ETL processes.

You should be well-versed in the design and development of ETL and database developments for large data products, as well as maintaining and supporting production environments.

• Part of a DevOps team implementing and supporting ETL workflows. Data sources will be: structured, semi-structured and unstructured.
• Working with suppliers, data scientists, machine learning engineers, and platform teams to acquire and process data.
• Analysing data requirements, source data, model the source, and determine the best methods in extracting, transforming and loading the data into the data lake and processing the data through the layers of the lake.
• Providing technical input around design, architecture, integration and support of the entire data sourcing platform with a focus on high availability, performance, scalability and maintainability.
• Act as the ETL technical liaison working with technical infrastructure teams to resolve problems and implement solutions to technical issues impacting application performance
• Managing data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with backups, rollback and performance tuning.
• Test, document and quality assess new data solutions, to ensure they are fit for release.
• Communicate and coordinate with members of the development team to work across multiple projects. Explore, actively support and work on new technology initiatives that may be of interest to the organization.
• Manage automation of all ETL processes within a job workflow
• Documentation of data engineering workflows to support downstream use
• Testing of data in analytics applications, to ensure data validity and reconciliation to source systems
• Development of subject matter expertise in sub-domains of the Science & Enabling Unit portfolio – understanding of business process, data flows, data provenance, data restrictions and data use.
• 6 years+ experience on data engineering– ETL workflows
• B.Tech/ M.Tech/MSc in Computer Science.
• A strong understanding of databases and source systems, including experience with , RDBMS, NoSQL and Graph technologies.
• Understanding and using APIs to pull data
• Experience of Object Oriented programming (Java, Python, C#) & Shell Scripting.
• Experience of using ETL/orchestration tools & software (Talend, Airflow, Snaplogic, Informatica, etc.). currently we are using Talend
• Proven record of ETL pipeline performance tuning
• Good software development skills with demonstrable knowledge of Python and Java, and source control (GIT) & versioning
• Working knowledge of cloud environments (AWS preferred)
• Hands-on experience with developing large scale data pipelines
• Hands-on experience with big data technologies like Hadoop ,Spark etc)
• Experience of semi-structured (XML, JSON) and unstructured data handling including extraction and ingestion via web-scraping and FTP/SFTP.
• Excellent communication and facilitation skills.
• Good written and verbal skills, fluent English.
• Experience of delivering solutions within IT projects delivered through Agile and Waterfall methodologies.
• Debugging & root cause analysis
• Enthusiasm to learn and apply new concepts and technologies with ‘can do’ attitude

WHY JOIN US ?

We’re a network of entrepreneurial self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering extraordinary technology and data solutions. We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.

SO, WHAT’S NEXT?

Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.

WHERE CAN I FIND OUT MORE?

Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Date Posted

Closing Date

AstraZeneca 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.