Data Platform Engineer
4 weeks ago
About GSCF
GSCF is a leading global provider of working capital solutions. Our innovative 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. As a Data Platform Engineer, you will be responsible for creating, maintaining, and continuously improving our company's data platform.
You will design and implement complex data models, develop robust ETL/ELT pipelines, and ensure high performance and scalability of our data warehousing solutions.
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
- Strong coding skills in SQL and Python.
- Strong experience with modern data processing tools (e.g., dbt, Kafka).
- Experience with pipeline orchestration solutions like Airflow and Dagster.
- Experience with a public cloud provider (e.g., AWS, Azure).
- Proven experience with cloud Data Warehousing solutions such as Snowflake, Databricks, and Redshift.
- Experience managing and optimizing classic RDBMS systems like MySQL, PostgreSQL, or SQL Server.
- Solid data modeling skills, with experience designing and optimizing data models for various use cases.
- Familiarity with infrastructure as code tools (Terraform, CDK) and Kubernetes is beneficial.
- Familiarity with the modern data stack is a plus.
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 and benefits.
- Hybrid-working model.
- Opportunities for on-the-job training and career development.
- A dynamic and supportive work environment focused on innovation and growth.
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin, or any other category protected by law.
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