Data Engineer (m/w)
Location: Zug
Workload: Full time
Your tasks:
Design:
Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced Analytics datasets based on your stakeholders’ requirements
Design data pipelines to curate sourced data into the inhouse data warehouse
Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders
Design data model changes that align with the inhouse data warehouse standards
Define migration execution activities to move data from existing database solutions to the inhouse data warehouse
Engineering:
Regular housekeeping of raw data and data stored in the inhouse data warehouse
Build and maintenance of data pipelines and data platforms
Build data solution prototypes
Explore ways to enhance data quality and reliability
Identify and realize opportunities to acquire better data (raw data)
Develop analytical tooling to better support BI and Advanced Data Analytics activities
Execute data migration from existing databases to the inhouse data warehouse
Promote and champion data engineering standards and best-in-class methodology
Your profile:
You will have the following qualifications:
Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering or related quantitative discipline
4+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industry
Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g., Kanban, SAFe, SCRUM, etc.
Strong understanding of ETL, data warehouse and BI and Advanced Data Analytics concepts
Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc.
Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL
Strong programming skills with advanced knowledge of Java and/or Python
Experience in building data models, which includes the conceptual, logical, and physical and practical experience using DataVault 2.0
Practical experience with ETL tools such as Talend, etc.
Strong critical-thinking, analytical and problem-solving skills
Excellent communicator with team-oriented approach
Desired:
Working knowledge of big data concepts in organizing both structured and unstructured data
Certified in AWS Data Analytics Specialty/AWS Machine Learning Specialty
Knowledge about private markets
- Scrum
- PostgreSQL
- Business Intelligence
- ETL
- Support
- Python
- Machine Learning
- JAVA
- Kanban
- SQL
- Bachelor
- Master
