Senior Analytics Engineer, Barcelona
Empresa
Michael Page
Provincia
Barcelona
Ciudad
Barcelona
Tipo de Contrato
Tiempo Completo
Descripción
Senior Analytics Engineer en Barcelona.
Perfil buscado (Hombre/Mujer)
Develop high quality data models in SQL to support our applications
Develop automated data pipelines in AWS (lambdas step functions Glue)
Design building and launching of new data models and data pipelines
Implement best practices in data engineering including data integrity validation reliability and documentation and improving discoverability of data
Optimize database design for performance
Build relationships with Data Scientists Product Managers and Software Engineers to understand data needs
Join a +100 super motivated ML Engineers data scientists and developers. AI products AI Laboratory. Work flexibility. Fun and agile environment.
5+ years of experience in data modeling ETL/ELT development and Data Warehousing
3+ years of experience in with Cloud database technology specifically Redshift
2+ years of experience developing and deploying high-performance solutions using Apache airflow Lambda Functions Glue Python and Spark
Solid understanding of database design principals
Solid understanding of query execution plans
Nice to have DBT experience
Fast-growing start-up with HQ in Munich. Nowadays a team of 120+ super motivated ML Engineers Data Scientists and Developers. Ficus in AI product for business insights
We are an internationally diverse team that supports one another
We develop high-quality software and thus create sustainable added value for our customers
We live a feedback culture so that we can constantly reflect and improve
We offer flexible remote work with free time management within the projects
We enjoy new technologies and love to learn new things and grow with them
We give freedom for further training because lifelong learning is important to us
SQL, AWS, ETL
Perfil buscado (Hombre/Mujer)
Develop high quality data models in SQL to support our applications
Develop automated data pipelines in AWS (lambdas step functions Glue)
Design building and launching of new data models and data pipelines
Implement best practices in data engineering including data integrity validation reliability and documentation and improving discoverability of data
Optimize database design for performance
Build relationships with Data Scientists Product Managers and Software Engineers to understand data needs
Join a +100 super motivated ML Engineers data scientists and developers. AI products AI Laboratory. Work flexibility. Fun and agile environment.
5+ years of experience in data modeling ETL/ELT development and Data Warehousing
3+ years of experience in with Cloud database technology specifically Redshift
2+ years of experience developing and deploying high-performance solutions using Apache airflow Lambda Functions Glue Python and Spark
Solid understanding of database design principals
Solid understanding of query execution plans
Nice to have DBT experience
Fast-growing start-up with HQ in Munich. Nowadays a team of 120+ super motivated ML Engineers Data Scientists and Developers. Ficus in AI product for business insights
We are an internationally diverse team that supports one another
We develop high-quality software and thus create sustainable added value for our customers
We live a feedback culture so that we can constantly reflect and improve
We offer flexible remote work with free time management within the projects
We enjoy new technologies and love to learn new things and grow with them
We give freedom for further training because lifelong learning is important to us
SQL, AWS, ETL