Software Engineer (Data Eng infra)

Join Aurora, a company dedicated to building a safer and more efficient transportation ecosystem. As a Software Engineer on our data engineering and infrastructure team, you will design, develop, and maintain our data platform, ensuring it is scalable, reliable, and secure. You will work with seasoned engineers and collaborate with various teams to meet their data needs. This role requires experience in software engineering, cloud platforms, and data processing frameworks.

• Contribuer à la conception, au développement et à la maintenance de la plateforme de données, en construisant des systèmes évolutifs et fiables.
• Concevoir, construire et maintenir des pipelines de données robustes et évolutifs et des processus ETL/ELT pour ingérer, transformer et charger des données.
• Collaborer avec des équipes interfonctionnelles pour comprendre leurs besoins en matière de données et construire des solutions qui répondent à leurs exigences.
• Experience with building and managing data pipelines using an orchestrator like Apache Airflow
• Able to systematically approach open-ended questions to identify pragmatic data solutions that scale
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue)
• 1+ years of recent professional experience in software engineering, with a focus on data-related projects
• Preliminary experience with big data processing frameworks like Apache Spark, Flink, Kinesis Data Stream, or similar technologies
• Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment
• Strong knowledge of SQL and experience working with relational and NoSQL databases
• Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++)
• Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders
• Preliminary knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Experience with data warehousing solutions like Snowflake or data lake architectures
• Familiarity with modern data stack tools and practices
• Experience using Amazon Web Services (AWS) tools
• A passion for building elegant, scalable, and maintainable systems