Full Stack Engineer Madrid

Detalles de la oferta

.FULL STACK DATA SOLUTIONS ENGINEER Madrid – Spain Would you like to work for one of the leading IT firms worldwide and join our CoE in Analytics & Big Data in EMEIA in MADRID?
Do you have a strong background in building Data applications using open-source software?
Do you enjoy helping customers enhance their business by building robust data applications?
Are you business-minded, proactive, curious, and independent?
If so, we would really like you to join our team!
As our future Full Stack Data Solutions Engineer: You are responsible for translating business requirements into technical specifications.
You design and implement data architectures, models, and data flow with the integration of relational and Big Data technologies.
You implement applications, APIs, and services to generate, store, and query the data.
You take care of the technological evolution of the data solution by defining components.
You manage the end-to-end development of the functionalities included in specifications to ensure solution delivery.
You are responsible for monitoring the releases defined under Agile principles.
You should have a Solutions Architect and Full Stack Developer profile, being passionate about technology and data.
You show initiative, are proactive, a good team worker, and eager to keep learning and innovating every day.
You understand and appreciate the importance of communicating insights and stories through data.
Your profile: You have a Bachelor's degree in Telecommunications, Computer Science, or Engineering.
At least 3 years of experience in a similar position, preferably within the IT and/or consultancy industry, with the availability to work HYBRID from Madrid.
Experience with Big Data technologies and application development is a plus.
Technical skills: Front-end technologies: Javascript, HTML, CSS, Bootstrap, jQuery.
Back-end technologies: Java, Spring Framework, Hibernate ORM.
Basic knowledge of integrations with NoSQL/SQL.
Continuous integration tools: Maven, Git, Artifactory, Jenkins.
Best practices: knowledge and use of good programming practices such as SOLID principles, TDD, Design Patterns, and Refactoring.
We value experience with the following technologies, but it is not mandatory; you can learn on the way: Graph and Semantic Web: GraphDB, RDF, OWL, SPARQL.
Databases and Big Data Technologies: Elasticsearch, Kafka, Kafka Connect, Redis, Spark (Streaming & Dataframes), HDFS, HBase.
As a person, you are curious and independent by nature, you enjoy working and interacting daily with clients.
You have excellent communication skills and focus all efforts on ensuring customer satisfaction.
What is in it for you?
When you join our team, we offer you a competitive salary and secondary benefits.
You will have the opportunity to work in a flexible environment, with lots of room for personal growth


Salario Nominal: A convenir

Fuente: Jobtome_Ppc

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