Data Platform Architect
1 week ago
Job Title: Senior Data Engineer - Cloud Solutions
About GSCF:
GSCF is a leading global provider of working capital solutions. The company's innovative solution, Working Capital as a Service, unlocks liquidity and optimizes working capital through a connected capital ecosystem of suppliers, buyers, and financial partners.
We combine a comprehensive platform, expert managed services, and access to alternative capital solutions to empower businesses to improve cash flow, optimize efficiency, manage risk and complexity, and drive sustainable growth.
The Role:
We are seeking a highly motivated and skilled Data Platform Engineer to join our team who will work hybrid. As a Data Platform Engineer, you will be responsible for creating, maintaining, and continuously improving the company's data platform.
You will design and implement complex data models, develop robust ETL/ELT pipelines, and ensure high performance and scalability of the data warehousing solutions.
What We Offer:
- A clearly defined and challenging role where you will play a key part in financial planning
- The opportunity to join a scaled and profitable start-up
- Ambitious and fun group of colleagues
- International exposure and experience, as well as exposure to highest decision makers
- Competitive salary: $120,000 per year (based on location)
- Ambitious and fun group of colleagues
- Hybrid-working model
- Opportunities for on-the-job training and career development
- A dynamic and supportive work environment focused on innovation and growth
Responsibilities:
- Create, maintain, and continuously improve the company's data platform
- Develop and optimize data warehousing solutions for high performance and scalability
- Create simple and effective self-service solutions to democratize data
- Design and implement complex data models to support both operational and analytical needs
- Work closely with data analysts and business stakeholders to understand data requirements and deliver solutions that meet their needs
- Design, develop, and maintain robust ETL/ELT pipelines to ingest, process, and store datasets from various sources
- Apply and endorse software engineering best practices (version control, testing, CI/CD) throughout the data platform
- Ensure the quality of datasets by implementing thorough data testing
Requirements:
- SQL
- Python
- Data processing tools
- Airflow
- Dagster
- Public cloud
- Snowflake
- Databricks
- Redshift
- RDBMS
- MySQL
- PostgreSQL
- Data modeling
- Terraform
- CDK
- Kubernetes
- Modern data stack
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