Data Platform Engineer
2 weeks ago
We are seeking a highly motivated and skilled Data Platform Engineer to join GSCF's team. As a Data Platform Engineer, you will be responsible for creating, maintaining, and continuously improving the company's data platform.
Key Responsibilities:
- Design and implement complex data models to support both operational and analytical needs.
- Develop and optimize data warehousing solutions for high performance and scalability.
- Create simple and effective self-service solutions to democratize data.
- 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
The ideal candidate will have:
- 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.
About GSCF
GSCF is the leading global provider of working capital solutions, offering 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.
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