Job Title: Senior Consultant
Location: TRIL GTC Chennai 
GCL: D2

Company

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. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives and are made to feel valued, energized and rewarded for their ideas and creativity.

Department – Data Engineering, R&D Science IT

R&D Science IT is a global IT capability supporting Drug Research, Drug Development, Product & Portfolio Strategy, Medical Affairs, Finance, HR, Compliance, Legal and Global Business Services. We are organized around 7 key capability areas: Business Partnering, Solution Delivery, Architecture, Application Support, Data & Analytics, Change & Operations, operating out of sites across the US, UK, Sweden, India and Mexico.

The Data & Analytics team provides technical support to analytics and data insight services and solutions critical to the Data & AI/ML emerging strategy and mission of R&D Science IT and AZ. Data & Analytics is organized into teams specializing in Information Architecture, Data Engineering, Visual Engineering, Knowledge Management, Data Science, Data Analysis and Information Governance.

Role

The role holder (Information Engineer) will be responsible for the design, development, evaluation & testing of reference data entities (codes, vocabularies, thesaurus, ontologies) and supporting the execution of the reference data management (RDM) platform. The role holder will work closely with Solution Architects (SAs) and Information Architects (IAs) for uploading of reference data entities in a cloud-based data hub environment as well as the deployment of RDM solution technologies including data integration and service architectures. One key responsibility of the Information Engineer will be to work collaboratively with the different levels of data models (e.g., Science Conceptual Model) and solution technologies (Master Data Management (MDM), & Data Catalogue (DC)) and to deliver integrated RDM services.

The key tasks of Information Engineer will be (i) ingestion of reference data entities: analyse, filter & upload reference data entities from R&D data sources; (ii) supporting change management activities: support Information Architects (IAs), Data Owners & Data Stewards in updating existing reference data entities to ensure seamless business as usual processes across R&D; and (iii) test & validation of reference entities, by participating and supporting the testing & quality teams while uploading new reference entities and/or update of reference entities.

The Information Engineer will be an integral and respected part of the data engineering team, whose input and expertise will be instrumental in ensuring the success of RDM delivery. The role will invariably be one of a ‘data chef’, understanding where reference data is in the estate, the suitability of the data to the problem in hand, the restrictions on using that data and documenting to enable re-use. We are planning to grow the reference data team over the next year, so this engineer will have the opportunity to play a pivotal role in establishing robust ways of working and customer service levels.

Key Accountabilities

• Provision of data understanding (structure, provenance, quality) to Info Architects, Data Engineers and Data Scientists to support use in D&A projects.

• Evidence that they have built a strong understanding of databases and source systems.

• Strong database design & data modelling skills, including entity relationship modelling, UML diagrams & logical data models.

• Support data preparation, curation and analytical pipelines with reference data.

• Documentation of reference data in the S&EUIT data catalogue to support downstream use.

• Support the design & testing of conformed data models in downstream analytics applications with reference data expertise.

• 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 the business process, data flows, data provenance, data restrictions and data use.

Highly Desirable Knowledge, Skills and Experience

• 5 years+ experience on database design & data modelling – entity relationship diagrams, UML diagrams & logical data models.

• B.Tech/ M.Tech/MSc in Computer Science.

• A strong understanding of databases and source systems.

• Experience writing Python code.

Additional skills and experience sought

In addition, these are the bonus skills (not mandatory) for this position:

• Experience of ontologies and standard controlled vocabularies.

• Experience of one or more ontology languages, e.g., Web Ontology Language (OWL) & Resource Description Framework (RDF).

• Excellent communication and facilitation skills.

• Good written and verbal skills, fluent English.

• Experience of working with data scientists and their methods: understanding of how data needs to be prepared for use by data scientists.

• Experience in delivering solutions within IT projects delivered through Agile and Waterfall methodologies.

• Experience in working with a range of data architectures.

• Supporting a data-centric application.

• Working with APIs (support or development).

"As part of the application process for some roles at AstraZeneca, candidates may be asked to complete a series of online games, created by pymetrics, to assess certain candidate qualities to help evaluate potential match for the position. If the pymetrics process applies to this role, you will receive an email invitation with additional information following application. Once completed AZ will automatically receive your results - pymetrics will not be used solely in our decision-making process but will help us gather additional insight.“

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, 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.