Budapest XI. kerület
Location
Company size
Job type
Salary Negotiable
Salary
Introduction
Our partner company is focusing on business intelligence. Their leading experts have been working together for more than 15 years. Their data warehouse and data mining teams work to provide effective solutions to business problems, mainly in the financial, telecom, and energy sectors.They have projects in all areas of BI, from building data warehouses to machine learning-based analytics and executive dashboards. They are looking for a medior and a senior Analytics Engineer with data engineering (SQL, Python) and project experience on AWS/GCP platform.
Tasks
- Design and implement Data Pipelines with platform services and serverless solutions
- Develop, and test ingestion pipelines from various sources
- Create data transformations with SQL, Python, PaaS and 3rd party tools (e.g. dbt)
- Automate data ingestion and transformation (often with Airflow or similar tools)
- Participation in business communication
Requirements
- Data transformation background: sound conceptual understanding and practical experience of data modeling and ETL processing, including extensive knowledge of SQL. As an orientation, you are likely to have 4+ intensive years in the field
- Intermediate software development background, preferably in Python and/or focused on data transformation.
- At least some experience in cloud data management, preferably in AWS or GCP data stack components (primarily batch data management, storage, loading, transformation of structured data structures, Data Lake storage and management tools)
- Strong technical and business English (oral, reading and writing)
- Team player, dependable, delivers on promise
- Proactive in finding solutions
- Eager to learn and improve
Our client's offer
- Stable company, long-term job opportunities
- 1 day on-site, 4 days HO
- Interesting, varied and challenging tasks
- Continuous development, active professional support
- Close-knit team, family atmosphere
- Work-life balance support
