Data Analyst/Scientist
As a Data Analyst/Scientist, you will be instrumental in driving business growth by extracting insights from complex data sets.
Key Responsibilities:
* Design and develop scalable data pipelines using Airflow, dbt, and Python to fuel our analytics engine.
* Create optimized data models in our cloud data warehouse to empower fast and reliable business intelligence tools, dashboards, and data science applications.
* Integrate and document data from various sources, including SAP, Salesforce, and other enterprise systems, to generate high-quality raw and processed data products for analysts.
* Provide guidance, curated self-service templates, and documentation to help domain experts develop and maintain their own data solutions with confidence.
* Contribute to the future platform by participating in proof-of-concepts for reusable templates, Infrastructure as Code, and open table formats that will underpin our upcoming self-service data platform.
Requirements:
* Bachelor's degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.
* At least 3 years of hands-on data or software engineering experience, taking data pipelines and services from design through to reliable production operation.
* Proficiency in SQL and Python programming languages.
* Familiarity with cloud analytics services, Airflow, Docker, and Kubernetes/EKS.
* Version control (Git) and at least one CI/CD or IaC tool is highly desirable.
* A service-oriented mindset, clear communication, and fluency in English are essential.
We foster a multicultural and international work environment that values diversity and inclusion.