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Lead Data Engineer Slovakia

2021-05-19 00:01:38
Lead Data Engineer Slovakia
Job DescriptionProvides leadership and technical expertise to the analysis, definition, design and delivery of large, structured or unstructured data across different domains, which may include Neurology, Oncology, Vaccines and other medical/therapeutic areas.Uses broad knowledge of data across Healthcare, Biotech and technical disciplines to explore, identify and harness these data assets to make us a data driven organization.Prototypes, maintains and creates data-sets and data architectures.Manages and influences technical analysis, design, development maintenance and configuration of complex and non-routine data and leads the analysis, definition and design of data and the data architectures, including within R&D.Uses specialized in-depth knowledge of advanced data stores and analysis technologies, consults with data specialists and researchers to define datasets, analyze those within team priorities to support research and finding signals for targets. Contributes to and takes... responsibility for creating future state roadmaps for complex data architectures, data explorations, data analyzes and data modelling within a complex Biology, Omics, Chemistry, Competitive Intelligence, Statistical and other relevant domains.Makes recommendations for data architectures, data analyzing methodologies and technology by using deep understanding of data industry trends, data analyzing possibilities, data roadmaps and strategic data plans.Guides decisions with projects and other IT groups by using persuasion and negotiation skills to reach agreement on approach and implementation.Oversees the impact of Medical and Biological data/datasets requests to support different research and leads data investigations.Applies System Development Life Cycle (SDLC) and Information Technology Infrastructure Library (ITIL) to solutions and leads others to work accordinglyEnsures the codification of data documentation aligned to Takeda Quality Management System (QMS), Software Development Life Cycle (SDLC) and IT Project Life Cycle (ITPLC) standards, policies and proceduresLeads a team of data engineers to support Life Science Research Data Initiatives, choosing the appropriate technologies and developing advanced architectures for the largest data problems, including for R&DWorks on toughest problems in the group with other team members. The Lead will be the last stop for the hardest problemsDemonstrates advanced tooling and techniques to other engineers and traditional analytics organizations throughout the companyRepresent the team while working on project across domains and commercial. Is internal and external expert to-go-to in how to drive advanced Computer Science and Engineering skills and techniquesProvides expertise to data engineers and peers and specialists, to support researchBachelors or Master Degree in Computer Science, Mathematics or equivalent.8 years or more of relevant experienceAbility to write, speak and lead in the English languageExcellent oral and written communications skills, business acumen with problem solving and analytical skillsAbility to work in an agile and rapid changing environment with high quality deliverables.Experience with four of the following languages: Java, Scala, Python, Chef, R, JavaScriptExperience using Spark (Scala or PySpark) in a production environmentUnderstanding of AWS (S3, EC2, Redshift, EMR, Athena)Experience with Informatica PowercenterExperience with data formats including Parquet, ORC or AVROUnderstanding of Web Services as well as JSON formatsWorking knowledge of SQL and Relational DatabasesExperience with Multiple NoSQL datastores (Cassandra, MongoDB, Neo4J, …)Experience using a “Data Lake” environmentArchitectural understanding of Horizontally Scalable solutionsLocationsBratislava, SlovakiaWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time
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Lead Data Engineer Slovakia Takeda Pharmaceutical Slovakia
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