Data Engineer Chapter Lead
hace 1 semana
¿Te gustaría impulsar la transformación digital de grandes compañías y liderar sus retos de innovación? ¿Lo tuyo son los datos y el liderazgo de equipos?
Nos presentamos:Somos Clevertask, una compañía de 200 profesionales, que pertenece al grupo internacional ALTEN, líder en ingeniería y servicios IT, con consultores y presencia en 30 países. Contamos con la solidez de un gran grupo y la cercanía y expertise para ser el mejor partner de nuestros clientes.
Nuestros servicios:- Consultoría estratégica tecnológica
- Transformación del puesto de trabajo digital
- Migración de infraestructuras al cloud
- Implantación de soluciones de seguridad cloud
- Inteligencia Artificial y Machine Learning
Transparencia, cercanía e innovación en todo lo que hacemos, sin olvidar la excelencia.
¿Qué ofrecemos?En Clevertask ofrecemos una serie de medidas para que puedas desarrollarte 360o y conseguir todo aquello que te propongas, para ello tendrás la oportunidad de:
- Horario flexible y posibilidad de trabajar en remoto (95% remoto, se puede requerir visitar oficinas en Madrid muy puntualmente)
- Plan de carrera personalizado, para ello tendrás acceso a cursos de formación a cargo de la empresa y certificaciones oficiales
- Clases de inglés en remoto sin coste para ti
- Sistema de retribución flexible en guardería, transporte, seguro de salud y dietas
- Referal bonus, si traes a gente con tanto talento como tú
Buscamos a una persona con experiencia como Data Engineer Senior que además tenga experiencia y/o capacidades para liderar un equipo de unas 2-3 personas.
Cuáles serán tus responsabilidades?- Responsable del Chapter de Data Engineering
- Responsable técnico del chapter y del desarrollo de sus miembros
- Contribuir a la entrega de valor como integrante de un squad (participarás en proyectos de clientes), y será el/la responsable jerárquico de los integrantes de un chapter (people manager)
- Conocimiento experto de plataformas de datos (Data Warehouse, Data Lake, Data Lakehouse)
- Conocimiento experto de ETL/ELTs
- Azure Synapse Analytics o Azure Data Factory
- Spark
- Experiencia en la creación y optimización de canalizaciones de datos, arquitecturas y conjuntos de datos de 'Big Data'
- Lenguajes de programación (avanzado): SQL/T-SQL y Python
- Bases de datos relacionales (SQL) (SQL Server, MySQL, PostgreSQL, Oracle, BigQuery, SAP/Hana)
- Gestión o coordinación de proyectos
- Infraestructura Cloud: Azure
- Metodologías ágiles (Scrum o Kanban)
- Experiencia con otras soluciones de visualización (Qlik, Tableau, Looker, Microstrategy)
- Experiencia con al menos una de estas herramientas (Talend, dbt, Airflow)
- Bases de datos NoSQL (MongoDB, CosmosDB, ElasticSearch, RedShift)
- Lenguajes de programación: Scala, M/Power Query, MDX o R
- Infraestructura Cloud: Google Cloud Platform (GCP) o AWS
- Poseer la certificación DP-203 o equivalente (Data Engineering o Microsoft Azure)
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