Trabajo Data Analyst en Valencia

Estás son las últimas ofertas de trabajo de Data Analyst en Valencia encontradas.

 empleos encontrados

  • 21/06/2022

    Comunidad Valenciana

    DESCRIPCIÓN En Digital Talent Agency te ofrecemos oportunidades laborales de incorporación directa en empresas destacadas del sector tecnológico, encontrando el balance perfecto entre tu vida personal y profesional. Valoramos tu experiencia y ponemos el foco en la motivación, qué te gusta y qué tipo de proyectos quieres participar. Formamos parte de Zemsania Global Group y juntos, contamos con más de 18 de años de experiencia en asesoramiento profesional a candidatos y búsqueda y selección de perfiles tecnológicos. El Proyecto Buscamos a un Data Engineer con Python con un mínimo de 5 años de experiencia para una empresa destacada del sector tecnológico, para un importante proyecto en Valencia. ¿Qué necesitamos de ti? Experiencia o conocimiento en los lenguajes de programación con Python. Valorable Java. Conocimiento en software de bases de datos (SQL Database) como Postgresql, My SQL, etc. Experiencia en la ejecución y categorización de datos para proveer al departamento de Machine Learning de ellos. Experiencia adaptando las interfaces de las APIs. Conocimiento en Redis o Pgadmin. Grado en Informática o en Ciencia de Datos. Condiciones: Incorporación inmediata. Contratación indefinida. Contratación directa con la empresa. Salario competitivo. Modelo híbrido de teletrabajo (2 días se ha de ir físicamente). ¿Beneficios? Únete a un proyecto muy ambicioso con un gran futuro por delante. Participar en una empresa dedicada a las traducciones inteligente. Plan de retribución flexible (Seguro médico privado y bono restaurante). Selección directa con la empresa. Horario totalmente flexible. Crecimiento profesional dentro de la empresa con diferentes proyectos. Remuneración según experiencia profesional y conocimientos.

  • 06/06/2022

    Comunidad Valenciana

    Funciones Sopra Steria works to enable our clients' digital transformation and to do so we need to keep growing and contributing thanks to people like you. Our employees agree on the work environment and the great one team that we are at Sopra Steria. With more than 46.000 people working in 25 countries, our mission is to connect talent and technology, trying to help you to find a place where you can grow and develop all your potential. We require a Data Engineer highly skilled in database and ETL data pipelines development. The incumbent will be responsible for the re-design and implementation of the set of automated ETL pipelines, implementation of the analytics of the platform operations and importing new data sources: Work with the team (technical Lead/Architect/other team members) and customer focal point to understand the business need and design/implement the technical data management solution. Assist and work with the Solution Architect and Senior Data Warehouse Specialist to develop, test and deliver the various Work - Packages as further detailed below under "deliverables". Troubleshoot and remediate data problems affecting availability and functionality. Generate and retain relevant technical documentation related to the technical services provided during the project period. Efficiently collaborate with other team members and stakeholders. Ensure alignment with WIPO's technical standards and procedures. Deliver complete technical and user documentation. Refactor existing web analytics ETL pipeline to minimize inter-dependencies and remove hardcoded filters. Migrate metadata storage from S3 to Aurora and implement analytics on this data. Add additional data sources to the Data Platform, estimated time 1 month. Perform other related duties as required. Requisitos Skills: Hands-on experience writing code for Apache Spark with PySpark and Spark SQL (AWS Glue, Databricks, other Spark implementations) Extensive proven experience in data warehouse/ETL development: SQL, CTE, window functions, facts/dimensions High attention to detail Excellent communication skills; spoken and written English Good Understanding of Data engineering pipelines Knowledge of Data pipeline orchestrators and tools such as Azure Data Factory, Azure logic apps, and AWS Glue Knowledge of python Data pipeline development with Pyspark using Apache spark and Databricks Customer-centric approach to delivery and problem solving Se ofrece Because we know what you need... Taking part in innovative and demanding projects. Would you venture to learn something new? Amenities for you and your time. Work won't be everything! Enjoy our benefits and access our Flexible remuneration plan Freekys + Smart Sessions So that you feel as a part of the team: andjoy, padel, running and even a physio just in case Dare yourself to work in a different way and get to know us!

  • 23/05/2022

    Comunidad Valenciana

    Funciones Sopra Steria works to enable our clients' digital transformation and to do so we need to keep growing and contributing thanks to people like you. Our employees agree on the work environment and the great one team that we are at Sopra Steria. With more than 46.000 people working in 25 countries, our mission is to connect talent and technology, trying to help you to find a place where you can grow and develop all your potential. We require a Data Engineer highly skilled in database and ETL data pipelines development. The incumbent will be responsible for the re-design and implementation of the set of automated ETL pipelines, implementation of the analytics of the platform operations and importing new data sources: Work with the team (technical Lead/Architect/other team members) and customer focal point to understand the business need and design/implement the technical data management solution. Assist and work with the Solution Architect and Senior Data Warehouse Specialist to develop, test and deliver the various Work - Packages as further detailed below under "deliverables". Troubleshoot and remediate data problems affecting availability and functionality. Generate and retain relevant technical documentation related to the technical services provided during the project period. Efficiently collaborate with other team members and stakeholders. Ensure alignment with WIPO's technical standards and procedures. Deliver complete technical and user documentation. Refactor existing web analytics ETL pipeline to minimize inter-dependencies and remove hardcoded filters. Migrate metadata storage from S3 to Aurora and implement analytics on this data. Add additional data sources to the Data Platform, estimated time 1 month. Perform other related duties as required. Requisitos Skills: Hands-on experience writing code for Apache Spark with PySpark and Spark SQL (AWS Glue, Databricks, other Spark implementations) Extensive proven experience in data warehouse/ETL development: SQL, CTE, window functions, facts/dimensions High attention to detail Excellent communication skills; spoken and written English Good Understanding of Data engineering pipelines Knowledge of Data pipeline orchestrators and tools such as Azure Data Factory, Azure logic apps, and AWS Glue Knowledge of python Data pipeline development with Pyspark using Apache spark and Databricks Customer-centric approach to delivery and problem solving Se ofrece Because we know what you need... Taking part in innovative and demanding projects. Would you venture to learn something new? Amenities for you and your time. Work won't be everything! Enjoy our benefits and access our Flexible remuneration plan Freekys + Smart Sessions So that you feel as a part of the team: andjoy, padel, running and even a physio just in case Dare yourself to work in a different way and get to know us!

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