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 worlds most serious diseases But were more than one of the worlds leading pharmaceutical companies At AstraZeneca, were 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 & Analytics

Science and Enabling Units IT is a global IT capability supporting Drug Research, Drug Development, Product & Portfolio Strategy, 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

Data & Analytics provides analytics and data insight services and solutions critical to the Data & Advanced Analytics emerging strategy and mission of AZ D&A is organized into teams specializing in Information Architecture, Data Engineering, Knowledge Management, Data Science, Data Analysis and Information Governance The Late Science function is primarily focused on Clinical Trials Development Operations, Patient Safety, Drug Regulatory processes and Global Medical Affairs

Role

The Data Engineering Lead will be accountable for running and leading teams of Data Engineers on projects in the onshore locations and leading teams of Data Developers offshore You should deliver tangible and measurable value to partners by taking a technical leadership role in the delivery of both large and small Data & Analytics projects They will undertake a range of activities including business analysis requirements, data solution design, agile project leadership, analytics, testing and importantly software engineering itself for data solutions They will work closely with D&A Information architects and Data Engineering colleagues in Chennai & Guadalajara in the delivery of high quality engineered D&A solutions They will work with Data Scientists and with wider IT to deliver improved analytics capabilities to the business They will be responsible for developing Data Engineering standard methodology tooling, methods, standards, skills, documentation and training

Key Accountabilities

Provide D&A solution engineering (ETL, ODS, Marts, Big Data, Reports) to support the portfolio requiring data and analytical solutions, including design, implementation and testing activities
Deliver efficient, automated solutions to support D&A activities, for example data ETL workflows and visualisation to support ad hoc analysis requests
Deliver robust D&A solutions to support frequently asked business questions/analytical demands
Innovate and test new technologies with relevance to D&A, including POCs, assessments and business case development
Responsible for D&A solution evaluation and selection decisions; buy vs build decisions, and early-phase project estimates which give to the creation of business case
Responsible for the development of engineering standards, roadmaps (1-5 years) and blueprints for Science & Enabling Units IT working closely with Solution Architects
Lead all aspects of work for the D&A Engineers, on and offshore, ensuring the quality of the delivery, guiding in standard methodology, problem solving design/delivery challenges
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
Maintain an ongoing professional development in analytics and D&A technologies (and methodologies)
Contribute to the continued development of D&A Engineering as a capability with relation to training, tooling, ways of working and user documentation to optimise output and so value
Manage the relationship with key suppliers (technology and engineering service providers)
Ensure that business data and information assets are made available as data services and artefacts for consumption by the wider AZ enterprise
Establish strong working relationships with senior groups to develop an in-depth understanding of business priorities and early insight into changing needs in order to inform and shape demand

Candidate Knowledge, Skills and Experience

Extensive experience within IT including key experience in data engineering, data warehousing and business intelligence
Previous experience of leading people in a performance management environment
Ideally some domain knowledge (processes & data) in Pharma R&D
Experience of working with a range of BI & analytics architectures traditional warehousing, Big Data, NoSQL, virtualization, data streaming etc
Experience with & knowledge in key D&A Tools used within AZ Talend Data Services, Talend Data Catalogue, Talend Data Preparation, AWS Aurora, AWS Redshift, AWS EMR/Hive, PostgresSQL, Microstrategy, Spotfire, Oracle OBIEE
Experience with & knowledge of broader base of D&A tools, occasionally used for example SAP Business Objects, Qliktech, SAS/IBM SPSS, Informatica Powercentre, Informatica Data Quality, Informatica MDM, SAP MDM / MDG, Oracle Application Express, Oracle (Hyperion) DRM, Oracle SOA and BPM suites (FMW), Cisco CIS, SharePoint, SAP HANA/other appliances/MPP technologies, (etc)
Software engineering (eg JavaScript, Java, PERL, Python, PL/SQL, UNIX, XML processing, Github, etc)
Experience and familiarity with Information Architecture models and artefacts
Experience of working with data scientists and their methods understanding of how data needs to

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Biotechnology/Pharmaceutical/Medicine, Manufacturing/Industrial
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 20th May 2020

Key Skills:

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