Descripción
###### Job Informationen ######
Location: Zürich Workload: 80-100% Your tasks: - Design build and optimize real-time data pipelines, logic and storage systems with latest coding practices and industry standards (e.g., Databricks, Airflow, Spark, Kafka). - Ensure high availability, reliability, and performance of data systems through monitoring, alerting, and operational best practices. - Serve as the technical liaison between data infrastructure and downstream data consumers (dta science and engineering teams), ensuring alignment on definitions, metrics, and SLAs. - Continuously evaluate and improve the technical stack and infrastructure to support evolving data and scalability needs. - Write unit, integration tests and functional automation, towards quality assurance - Continuously assess and optimize bottlenecks and opportunities to improve operational efficiency through automation and scalability - Set standards for data quality, testing, version control, and deployment across all stages of the data lifecycle. - Define and implement data governance retention and monitoring policies Your profile: - Bachelor's degree in Computer Science with solid background in Data Sciences and Software engineering. - 3+ years of professional software development/data engineering experience. - Experience designing and building solutions within a cloud-based microservice architecture. - Experience in designing and building scalable data pipelines for extraction, transformation, and loading. - Proficient in Python, and data engineering frameworks (e.g., Databricks, Spark, Airflow). - Experience with SQL and NoSQL based databases for storage and processing of structured, semistructured & unstructured data - Experience in shell scripting. - Experience with Google Big Query or Amazon Redshift or Azure Synapse Analytics or other equivalent solution is considered a plus. - Experience in working with DevOps automation tools & practices and CI/CD pipelines, Docker, and, ideally, Kubernetes. - Experience implementing and operationalizing data governance policies (e.g., data cataloging, metadata management, data lineage, access control). - Experience operating in regulated environments with security and compliance needs is considered a plus. You are: - Motivated to integrate into a dynamic, high-performance, and exciting start-up environment. - Passionate about technical excellence and delivering innovative, complete solutions for industryfirst products that set new standards in the construction industry. - Independent, with meticulous attention to detail, and strong organizational skills. - A collaborative team player who thrives in a dynamic and inclusive work environment. - Proficient in English, both written and verbal. Other languages are a plus.
###### Benötigte Skills ######
* Deutsch
* Englisch
* Azure
* Security
* Support
* Testing
* Monitoring
* Python
* Shell
* SQL
* NoSQL
* DevOps
* Bachelor