Senior Analytics Engineer, Barcelona
Perfil buscado (Hombre/Mujer)
1. Develop high quality data models in SQL to support our applications.
2. Develop automated data pipelines in AWS (lambdas, step functions, Glue).
3. Design, build, and launch new data models and data pipelines.
4. Implement best practices in data engineering including data integrity validation, reliability, documentation, and improving discoverability of data.
5. Optimize database design for performance.
6. Build relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs.
Join a team of over 100 super motivated ML Engineers, Data Scientists, and Developers in our AI products AI Laboratory. Enjoy work flexibility in a fun and agile environment.
Requirements:
1. 5+ years of experience in data modeling, ETL/ELT development, and Data Warehousing.
2. 3+ years of experience with Cloud database technology, specifically Redshift.
3. 2+ years of experience developing and deploying high-performance solutions using Apache Airflow, Lambda Functions, Glue, Python, and Spark.
4. Solid understanding of database design principles.
5. Solid understanding of query execution plans.
6. Nice to have: DBT experience.
We are a fast-growing start-up with HQ in Munich, currently a team of 120+ motivated ML Engineers, Data Scientists, and Developers focused on AI products for business insights. We are an internationally diverse team that supports one another. We develop high-quality software to create sustainable added value for our customers. We live a feedback culture to constantly reflect and improve. We offer flexible remote work with free time management within projects. We enjoy new technologies and love to learn and grow with them. We provide freedom for further training because lifelong learning is important to us.
Skills: SQL, AWS, ETL
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