Data Engineer

Join Emburse, a leading provider of innovative SaaS solutions. As a Data Engineer, you will develop data pipelines and systems that empower our products. You will work with modern technologies such as Snowflake, Data Bricks/Spark, AWS, and Looker. This role offers opportunities for career growth and access to industry experts. Enjoy a flexible work schedule, generous paid time off, and a range of benefits including health insurance and retirement savings plans.

• Construire des pipelines de données qui alimentent l'entrepôt de données et les lacs de données, mettre en œuvre la sécurité des données des locataires.
• Développer des scripts pour automatiser les processus manuels, résoudre les problèmes de qualité des données, permettre l'intégration ou surveiller les processus.
• Comprendre la feuille de route du produit et comment contribuer aux objectifs globaux, capable de prioriser les tâches et d'estimer son propre travail.
• Builds analytical tools to utilize, model and visualize data
• 4+ years of data engineering experience related to data acquisition, data pipeline or analytics systems
• Develops scripts to automate manual processes, address data quality, enable integration or monitor processes
• Understanding of OWASP
• Ability to read and understand existing code and offer recommendations for improvement
• Develops code (e.g. python, Java or .net, or with specialized ETL tools) for the extraction, transformation, and loading of data from a variety of data sources
• Understands testing and integration testing techniques
• Self-sufficient in at least one large area of the data acquisition, data pipeline, analytics codebase, semantic views and an understanding of how a handful of key sub-systems interoperate
• Understands relational databases, columnar databases, development frameworks, and commonly used industry libraries
• Can interpret ad-hoc requests for data and translate these into the applicable data operations
• Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experience
• Experience with Python in a full SDLC/production deployment environment
• Experience working in a product-oriented environment alongside software engineers and product managers
• Experience working with a modern data pipeline or data workflow management tool
• Advanced working SQL knowledge and moderate experience working with relational or columnar databases
• Preferred: Experience with AWS services, Experience working with Snowflake, Experience working with Looker or an equivalent Business Intelligence suite, Experience working with Fivetran or an equivalent ETL/ELT suite, Experience with Databricks or an equivalent Spark-based suite, Financial Industry experience preferred
• Experience working with semantic data modeling for AI optimization
• Experience working with a modern scalable data lake or data warehouses