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SENIOR KNOWLEDGE GRAPH ENGINEER - LABELLED PROPERTY GRAPH

Barcelona - Barcelona

Descripción de la oferta de empleo

Senior Knowledge Graph Engineer - Labelled Property Graph Barcelona Competitive Salary + Benefits Introduction to role.
Join our dynamic Knowledge Graph Team at a leading global pharmaceutical company as a Senior Knowledge Graph Engineer.
We are seeking an experienced professional with a strong focus on Labelled Property Graph (LPG) and proficiency in data engineering.
If you have a solid background in computer science, data analytics, and LPG technologies such as Neo4j and LPG Query languages such as Cypher/Open Cypher, we want to hear from you! Accountabilities.
In this role, you will tap into your expertise in LPG and data engineering to design, develop, and maintain advanced knowledge-based systems and solutions that support our competitive intelligence initiatives.
You will collaborate with multi-functional teams and collaborators to understand business requirements, identify knowledge gaps, and define data-driven strategies to inform decision-making and drive business growth.
You will also develop and implement advanced data engineering pipelines, ensuring the optimal performance, scalability, and reliability of our data infrastructure.
Essential Skills/Experience.
Bachelor’s or master’s degree or equivalent experience in computer science, data science, engineering, or a related field.
Proven experience as a Knowledge Engineer, Data Engineer, or a similar role, with a strong focus on LPG and data engineering.
Proficient in data engineering tools and technologies, such as Python, SQL, Spark, Hadoop, and ETL / ELT frameworks.
Solid understanding of computer science fundamentals.
Excellent problem-solving, analytical, and critical thinking skills.
Deep understanding of LPG concepts and technologies.
Designing, developing, and deploying customised and scalable knowledge graph solutions or products.
Deep knowledge in Graph Query Languages (Cypher/Open Cypher, Gremlin).
Data/Software Engineering proficiency with Object-Oriented Programming Languages (e.
., Java, Python, C++) and/or Dynamic Programming Languages (e.
., Python, Perl).
Working knowledge of a range of database technologies including RDBMS, NoSQL.
Desirable Skills/Experience.
Programming languages that combine object-oriented and functional programming (e.
., Scala).
Experience with data analytics techniques.
Object Graph Mapping libraries and/or Aspect Oriented Programming.
Data engineering using modern data platforms to build, deploy, and maintain data applications.
Application deployment technologies (containerised workflows, Kubernetes) and cloud provisioning tools (CloudFormation, Terraform).
Familiarity with AWS would be advantageous.
Web-services development and consumption (e.
., RESTFul, GraphQL).
Graph visualization technologies and tools (e.
., Neo4j Bloom, SigmaJS, Gephi).
Full text search and indexing (e.
., Solr/Lucene, Elastic Search).
Experience with Django, Docusaurus, and React would be advantageous.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.
In-person working gives us the platform we need to connect, work at pace and challenge perceptions.
That’s why we work, on average, a minimum of three days per week from the office.
But that doesn't mean we’re not flexible.
We balance the expectation of being in the office while respecting individual flexibility.
Join us in our unique and ambitious world.
Why AstraZeneca? At AstraZeneca, we believe in the power of our collective knowledge.
We are a diverse team of inclusive self-starters, building partnerships and ecosystems, sharing thinking and ideas, learning and challenging.
Here, when we shape an idea, we take accountability for what we're building and make it happen.
We connect across the whole business to power each function to better influence patient outcomes and improve their lives.
We are dedicated to combining the science with our knowledge, to deliver greater value for patients, every day.
This is the place where innovation meets large-scale impact.
We are turning complex information into life-changing and practical insights, every day.
Ready to make a difference? Apply today! Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn https://www.
inkedin.
om/company// Follow AstraZeneca on Facebook https://www.
acebook.
om/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.
nstagram.
om/astrazeneca_careers/?hl=en 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.
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Detalles de la oferta

Empresa
  • Associate Principal Data Engineer
Localidad
Dirección
  • Sin especificar - Sin especificar
Tipo de Contrato
  • Sin especificar
Fecha de publicación
  • 15/05/2024
Fecha de expiración
  • 13/08/2024
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